The problem of data island hinders the application of big data in artificial intelligence model training,so researchers propose a federated learning framework.It enables model training without having to centralize all...The problem of data island hinders the application of big data in artificial intelligence model training,so researchers propose a federated learning framework.It enables model training without having to centralize all data in a central storage point.In the current horizontal federated learning scheme,each participant gets the final jointly trained model.No solution is proposed for scenarios where participants only provide training data in exchange for benefits,but do not care about the final jointly trained model.Therefore,this paper proposes a newboosted tree algorithm,calledRPBT(the originator Rights Protected federated Boosted Tree algorithm).Compared with the current horizontal federal learning algorithm,each participant will obtain the final jointly trained model.RPBT can guarantee that the local data of the participants will not be leaked,while the final jointly trained model cannot be obtained.It is worth mentioning that,from the perspective of the participants,the scheme uses the batch idea to make the participants participate in the training in random batches.Therefore,this scheme is more suitable for scenarios where a large number of participants are jointly modeling.Furthermore,a small number of participants will not actually participate in the joint training process.Therefore,the proposed scheme is more secure.Theoretical analysis and experimental evaluations show that RPBT is secure,accurate and efficient.展开更多
Taking the academic association of the Federation of Life Science Research and Innovation of the College of Life Science and Biotechnology of Heilongjiang Bayi Agricultural University as the research platform,it is ne...Taking the academic association of the Federation of Life Science Research and Innovation of the College of Life Science and Biotechnology of Heilongjiang Bayi Agricultural University as the research platform,it is necessary to organically combine personalized education with the cultivation of innovative and entrepreneurial ability.On the basis of unified teaching ideas,we should pay attention to the individual differences of educational objects,eliminate the disadvantages of traditional education,and break the conventional"spoon-feeding"teaching mode.It is necessary to shift from only paying attention to one-way indoctrination to paying attention to the cultivation of students'innovative quality,and to enhance students'interest in scientific research and practical ability of innovation and entrepreneurship through the rich scientific research activities of academic associations.展开更多
Recent developments in heterogeneous identity federation systems have heightened the need for the related trust management system.The trust management system evaluates,manages,and shares users’trust values.The servic...Recent developments in heterogeneous identity federation systems have heightened the need for the related trust management system.The trust management system evaluates,manages,and shares users’trust values.The service provider(SP)members of the federation system rely on users’trust values to determine which type and quality of service will be provided to the users.While identity federation systems have the potential to help federated users save time and energy and improve service experience,the benefits also come with significant privacy risks.So far,there has been little discussion about the privacy protection of users in heterogeneous identity federation systems.In this paper,we propose a trust value sharing scheme based on a proxy ring signature for the trust management system in heterogeneous identity federation topologies.The ring signature schemes can ensure the validity of the data and hide the original signer,thereby protecting privacy.Moreover,no group manager participating in the ring signature,which naturally matches with our decentralized heterogeneous identity federation topologies.The proxy signature can reduce the workload of the private key owner.The proposed scheme shortens the calculation time for verifying the signature and then reduces the overall time consumption in the process of trust sharing.Our studies prove that the proposed scheme is privacy-preserving,efficient,and effective.展开更多
This paper suggests an approach for providing the dynamic federations of clouds. The approach is based on risk assessment technology and implements cloud federations without consideration of identity federations. Here...This paper suggests an approach for providing the dynamic federations of clouds. The approach is based on risk assessment technology and implements cloud federations without consideration of identity federations. Here, for solving this problem, first of all, important factors which are capable of seriously influencing the information security level of clouds are selected and then hierarchical risk assessment architecture is proposed based on these factors. Then, cloud provider’s risk priority vectors are formed by applying the AHP methodology and fuzzy logic excerpt type risk evaluation is carried out based on this vector.展开更多
The literary federation system is a cultural system with Chinese characteristics. The Chinese characteristics of the literary federation system are mainly embodied in: it is the embodiment of the United Front under th...The literary federation system is a cultural system with Chinese characteristics. The Chinese characteristics of the literary federation system are mainly embodied in: it is the embodiment of the United Front under the leadership of the Communist Party of China in the field of literature and art, an important system to promote the popularization of literature and art, and a supplement to the system of honors in the cultural field of new China.展开更多
The mission of the Center for Translation is to promote international dissemination of Traditional Chinese Medicine with service first and quality oriented.Our top-level and excellent talent team includes famous exper...The mission of the Center for Translation is to promote international dissemination of Traditional Chinese Medicine with service first and quality oriented.Our top-level and excellent talent team includes famous experts at home and abroad as consultants,senior,middle-aged and young expertswith international background of traditional Chinese medicine,English editors and senior translators.85% of the members are owning master degrees or above.Those talentsare from universities,research institutions of TCM and Beijing Foreign Studies University etc.展开更多
Youth exchanges Contact between young people has become an important part of China-Africa friendship and exchanges. During his visit to Africa in early 2007, Chinese President Hu Jintao announced the plan to invite 50...Youth exchanges Contact between young people has become an important part of China-Africa friendship and exchanges. During his visit to Africa in early 2007, Chinese President Hu Jintao announced the plan to invite 500 African youths to visit China in the following three years. According to this plan,ACYF had invited 500 African young people展开更多
On June 2-3,International Textile and Clothing Bureau held its inaugural meeting for Private Sector Consultative Committee(PICC)in Geneva on June 2-3 to discuss the issues of common concerns and impacts that challenge...On June 2-3,International Textile and Clothing Bureau held its inaugural meeting for Private Sector Consultative Committee(PICC)in Geneva on June 2-3 to discuss the issues of common concerns and impacts that challenged textile and clothing sectors against global economic recession.展开更多
The mission of the Center for Translation is to promote international dissemination of Traditional Chinese Medicine with service first and quality oriented.Our top-level and excellent talent team includes famous exper...The mission of the Center for Translation is to promote international dissemination of Traditional Chinese Medicine with service first and quality oriented.Our top-level and excellent talent team includes famous experts at home and abroad as consultants,senior,middle-aged and young expertswith international background of traditional Chinese medicine,English editors and senior translators.展开更多
To improve the agility,dynamics,composability,reusability,and development efficiency restricted by monolithic federation object model(FOM),a modular FOM is proposed by high level architecture(HLA)evolved product devel...To improve the agility,dynamics,composability,reusability,and development efficiency restricted by monolithic federation object model(FOM),a modular FOM is proposed by high level architecture(HLA)evolved product development group.This paper reviews the state-of-the-art of HLA evolved modular FOM.In particular, related concepts,the overall impact on HLA standards,extension principles,and merging processes are discussed. Also permitted and restricted combinations,and merging rules are provided,and the influence on HLA interface specification is given.The comparison between modular FOM and base object model(BOM)is performed to illustrate the importance of their combination.The applications of modular FOM are summarized.Finally,the significance to facilitate compoable simulation both in academia and practice is presented and future directions are pointed out.展开更多
The importance and necessity of emulating the federation load during simulating was analyzed firstly.Then,the special federation load emulation tool,federation load simulator (FLS),was designed and implemented,by whic...The importance and necessity of emulating the federation load during simulating was analyzed firstly.Then,the special federation load emulation tool,federation load simulator (FLS),was designed and implemented,by which all of the vital essential characteristics of a simulation could be tested,e.g.the amount of federates,the joint/resigned speed of federate,the amount of object instances,the registered/deleted speed of instance in one single program,etc..The applications proved that FLS could provide a convenient,effective and adjustable simulation load testing environment during the procedure of run-time infrastructure(RTI)and interrelated tool federates researching,developing and performance testing.Furthermore,the FLS utilized all kinds of resources with high efficiency.展开更多
The development of complex products is essentially concerned with multidisciplinary knowledge.Running on Internet, integration based on multilayer federation architecture and dynamic reuse of simulationresources are t...The development of complex products is essentially concerned with multidisciplinary knowledge.Running on Internet, integration based on multilayer federation architecture and dynamic reuse of simulationresources are the major difficulties for complex product collaborative design and simulation. Since thetraditional Run-Time Infrastructure (RTI) is not good at supporting these new requirements, an extendedhigh level architecture (HLA) multilayer federation integration architecture (MLFIA), based on the resourcemanagement federation (RMF) and its supporting environment based Service-oriented architecture(SOA) and HLA (SOHLA) are proposed, The idea and realization of two key technologies, the dynamiccreation of simulation federation based on RMF, TH_RTT, an extensible HLA runtime infrastructure(RTI), used at Internet are emphasized. Finally, an industry case about multiple unit (MU) is given.展开更多
An adequate compute and storage infrastructure supporting the full exploitation of Copernicus and Earth Observation datasets is currently not available in Europe.This paper presents the cross-disciplinary open-source ...An adequate compute and storage infrastructure supporting the full exploitation of Copernicus and Earth Observation datasets is currently not available in Europe.This paper presents the cross-disciplinary open-source technologies being leveraged in the C-SCALE project to develop an open federation of compute and data providers as an alternative to monolithic infrastructures for processing and analysing Copernicus and Earth Observation data.Three critical aspects of the federation and the chosen technologies are elaborated upon:(1)federated data discovery,(2)federated access and(3)software distribution.With these technologies the open federation aims to provide homogenous access to resources,thereby enabling its users to generate meaningful results quickly and easily.This will be achieved by abstracting the complexity of infrastructure resource access provisioning and orchestration,including discovery of data across distributed archives,away from the end-users.Which is needed because end-users wish to focus on analysing ready-to-use data products and models rather than spending their time on the setup and maintenance of complex and heterogeneous IT infrastructures.The open federation will support processing and analysing the vast amounts of Copernicus and Earth Observation data that are critical for the implementation of the Destination Earth resp.Digital Twins vision for a high precision digital model of the Earth to model,monitor and simulate natural phenomena and related human activities.展开更多
Diagnosing multi-stage diseases typically requires doctors to consider multiple data sources,including clinical symptoms,physical signs,biochemical test results,imaging findings,pathological examination data,and even ...Diagnosing multi-stage diseases typically requires doctors to consider multiple data sources,including clinical symptoms,physical signs,biochemical test results,imaging findings,pathological examination data,and even genetic data.When applying machine learning modeling to predict and diagnose multi-stage diseases,several challenges need to be addressed.Firstly,the model needs to handle multimodal data,as the data used by doctors for diagnosis includes image data,natural language data,and structured data.Secondly,privacy of patients’data needs to be protected,as these data contain the most sensitive and private information.Lastly,considering the practicality of the model,the computational requirements should not be too high.To address these challenges,this paper proposes a privacy-preserving federated deep learning diagnostic method for multi-stage diseases.This method improves the forward and backward propagation processes of deep neural network modeling algorithms and introduces a homomorphic encryption step to design a federated modeling algorithm without the need for an arbiter.It also utilizes dedicated integrated circuits to implement the hardware Paillier algorithm,providing accelerated support for homomorphic encryption in modeling.Finally,this paper designs and conducts experiments to evaluate the proposed solution.The experimental results show that in privacy-preserving federated deep learning diagnostic modeling,the method in this paper achieves the same modeling performance as ordinary modeling without privacy protection,and has higher modeling speed compared to similar algorithms.展开更多
基金National Natural Science Foundation of China(Grant No.61976064)the National Natural Science Foundation of China(Grant No.62172123).
文摘The problem of data island hinders the application of big data in artificial intelligence model training,so researchers propose a federated learning framework.It enables model training without having to centralize all data in a central storage point.In the current horizontal federated learning scheme,each participant gets the final jointly trained model.No solution is proposed for scenarios where participants only provide training data in exchange for benefits,but do not care about the final jointly trained model.Therefore,this paper proposes a newboosted tree algorithm,calledRPBT(the originator Rights Protected federated Boosted Tree algorithm).Compared with the current horizontal federal learning algorithm,each participant will obtain the final jointly trained model.RPBT can guarantee that the local data of the participants will not be leaked,while the final jointly trained model cannot be obtained.It is worth mentioning that,from the perspective of the participants,the scheme uses the batch idea to make the participants participate in the training in random batches.Therefore,this scheme is more suitable for scenarios where a large number of participants are jointly modeling.Furthermore,a small number of participants will not actually participate in the joint training process.Therefore,the proposed scheme is more secure.Theoretical analysis and experimental evaluations show that RPBT is secure,accurate and efficient.
基金Research Project of Higher Education and Teaching Reform in Heilongjiang Province(SJGY20190484)Heilongjiang Educational Science 13 th Five-Year Plan Project(GBC1317101)Graduate Education and Teaching Reform Project of Heilongjiang Bayi Agricultural University(YJG201803).
文摘Taking the academic association of the Federation of Life Science Research and Innovation of the College of Life Science and Biotechnology of Heilongjiang Bayi Agricultural University as the research platform,it is necessary to organically combine personalized education with the cultivation of innovative and entrepreneurial ability.On the basis of unified teaching ideas,we should pay attention to the individual differences of educational objects,eliminate the disadvantages of traditional education,and break the conventional"spoon-feeding"teaching mode.It is necessary to shift from only paying attention to one-way indoctrination to paying attention to the cultivation of students'innovative quality,and to enhance students'interest in scientific research and practical ability of innovation and entrepreneurship through the rich scientific research activities of academic associations.
基金This work is supported by the National Key Research and Development Project of China(No.2017YFB0802302)the Key Research and Development Project of Sichuan Province(Nos.20ZDYF2324,2019ZYD027,2018TJPT0012)+1 种基金the Science and Technology Support Project of Sichuan Province(Nos.2018GZ0204,2016FZ0112)the Science and Technology Project of Chengdu(No.2017-RK00-00103-ZF).
文摘Recent developments in heterogeneous identity federation systems have heightened the need for the related trust management system.The trust management system evaluates,manages,and shares users’trust values.The service provider(SP)members of the federation system rely on users’trust values to determine which type and quality of service will be provided to the users.While identity federation systems have the potential to help federated users save time and energy and improve service experience,the benefits also come with significant privacy risks.So far,there has been little discussion about the privacy protection of users in heterogeneous identity federation systems.In this paper,we propose a trust value sharing scheme based on a proxy ring signature for the trust management system in heterogeneous identity federation topologies.The ring signature schemes can ensure the validity of the data and hide the original signer,thereby protecting privacy.Moreover,no group manager participating in the ring signature,which naturally matches with our decentralized heterogeneous identity federation topologies.The proxy signature can reduce the workload of the private key owner.The proposed scheme shortens the calculation time for verifying the signature and then reduces the overall time consumption in the process of trust sharing.Our studies prove that the proposed scheme is privacy-preserving,efficient,and effective.
文摘This paper suggests an approach for providing the dynamic federations of clouds. The approach is based on risk assessment technology and implements cloud federations without consideration of identity federations. Here, for solving this problem, first of all, important factors which are capable of seriously influencing the information security level of clouds are selected and then hierarchical risk assessment architecture is proposed based on these factors. Then, cloud provider’s risk priority vectors are formed by applying the AHP methodology and fuzzy logic excerpt type risk evaluation is carried out based on this vector.
文摘The literary federation system is a cultural system with Chinese characteristics. The Chinese characteristics of the literary federation system are mainly embodied in: it is the embodiment of the United Front under the leadership of the Communist Party of China in the field of literature and art, an important system to promote the popularization of literature and art, and a supplement to the system of honors in the cultural field of new China.
文摘The mission of the Center for Translation is to promote international dissemination of Traditional Chinese Medicine with service first and quality oriented.Our top-level and excellent talent team includes famous experts at home and abroad as consultants,senior,middle-aged and young expertswith international background of traditional Chinese medicine,English editors and senior translators.85% of the members are owning master degrees or above.Those talentsare from universities,research institutions of TCM and Beijing Foreign Studies University etc.
文摘Youth exchanges Contact between young people has become an important part of China-Africa friendship and exchanges. During his visit to Africa in early 2007, Chinese President Hu Jintao announced the plan to invite 500 African youths to visit China in the following three years. According to this plan,ACYF had invited 500 African young people
文摘On June 2-3,International Textile and Clothing Bureau held its inaugural meeting for Private Sector Consultative Committee(PICC)in Geneva on June 2-3 to discuss the issues of common concerns and impacts that challenged textile and clothing sectors against global economic recession.
文摘The mission of the Center for Translation is to promote international dissemination of Traditional Chinese Medicine with service first and quality oriented.Our top-level and excellent talent team includes famous experts at home and abroad as consultants,senior,middle-aged and young expertswith international background of traditional Chinese medicine,English editors and senior translators.
基金supported by the National Natural Science Foundation of China(6067406960574056).
文摘To improve the agility,dynamics,composability,reusability,and development efficiency restricted by monolithic federation object model(FOM),a modular FOM is proposed by high level architecture(HLA)evolved product development group.This paper reviews the state-of-the-art of HLA evolved modular FOM.In particular, related concepts,the overall impact on HLA standards,extension principles,and merging processes are discussed. Also permitted and restricted combinations,and merging rules are provided,and the influence on HLA interface specification is given.The comparison between modular FOM and base object model(BOM)is performed to illustrate the importance of their combination.The applications of modular FOM are summarized.Finally,the significance to facilitate compoable simulation both in academia and practice is presented and future directions are pointed out.
文摘The importance and necessity of emulating the federation load during simulating was analyzed firstly.Then,the special federation load emulation tool,federation load simulator (FLS),was designed and implemented,by which all of the vital essential characteristics of a simulation could be tested,e.g.the amount of federates,the joint/resigned speed of federate,the amount of object instances,the registered/deleted speed of instance in one single program,etc..The applications proved that FLS could provide a convenient,effective and adjustable simulation load testing environment during the procedure of run-time infrastructure(RTI)and interrelated tool federates researching,developing and performance testing.Furthermore,the FLS utilized all kinds of resources with high efficiency.
基金Supported by the National High Technology Research and Development Programme of China (No. 2006AA04Z160).
文摘The development of complex products is essentially concerned with multidisciplinary knowledge.Running on Internet, integration based on multilayer federation architecture and dynamic reuse of simulationresources are the major difficulties for complex product collaborative design and simulation. Since thetraditional Run-Time Infrastructure (RTI) is not good at supporting these new requirements, an extendedhigh level architecture (HLA) multilayer federation integration architecture (MLFIA), based on the resourcemanagement federation (RMF) and its supporting environment based Service-oriented architecture(SOA) and HLA (SOHLA) are proposed, The idea and realization of two key technologies, the dynamiccreation of simulation federation based on RMF, TH_RTT, an extensible HLA runtime infrastructure(RTI), used at Internet are emphasized. Finally, an industry case about multiple unit (MU) is given.
基金the C-SCALE project(https://c-scale.eu/),which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017529。
文摘An adequate compute and storage infrastructure supporting the full exploitation of Copernicus and Earth Observation datasets is currently not available in Europe.This paper presents the cross-disciplinary open-source technologies being leveraged in the C-SCALE project to develop an open federation of compute and data providers as an alternative to monolithic infrastructures for processing and analysing Copernicus and Earth Observation data.Three critical aspects of the federation and the chosen technologies are elaborated upon:(1)federated data discovery,(2)federated access and(3)software distribution.With these technologies the open federation aims to provide homogenous access to resources,thereby enabling its users to generate meaningful results quickly and easily.This will be achieved by abstracting the complexity of infrastructure resource access provisioning and orchestration,including discovery of data across distributed archives,away from the end-users.Which is needed because end-users wish to focus on analysing ready-to-use data products and models rather than spending their time on the setup and maintenance of complex and heterogeneous IT infrastructures.The open federation will support processing and analysing the vast amounts of Copernicus and Earth Observation data that are critical for the implementation of the Destination Earth resp.Digital Twins vision for a high precision digital model of the Earth to model,monitor and simulate natural phenomena and related human activities.
基金funded by the National Natural Science Foundation,China(No.62172123)the Key Research and Development Program of Heilongjiang(Grant No.2022ZX01A36)+1 种基金the Special Projects for the Central Government to Guide the Development of Local Science and Technology,China(No.ZY20B11)the Harbin Manufacturing Technology Innovation Talent Project(No.CXRC20221104236).
文摘Diagnosing multi-stage diseases typically requires doctors to consider multiple data sources,including clinical symptoms,physical signs,biochemical test results,imaging findings,pathological examination data,and even genetic data.When applying machine learning modeling to predict and diagnose multi-stage diseases,several challenges need to be addressed.Firstly,the model needs to handle multimodal data,as the data used by doctors for diagnosis includes image data,natural language data,and structured data.Secondly,privacy of patients’data needs to be protected,as these data contain the most sensitive and private information.Lastly,considering the practicality of the model,the computational requirements should not be too high.To address these challenges,this paper proposes a privacy-preserving federated deep learning diagnostic method for multi-stage diseases.This method improves the forward and backward propagation processes of deep neural network modeling algorithms and introduces a homomorphic encryption step to design a federated modeling algorithm without the need for an arbiter.It also utilizes dedicated integrated circuits to implement the hardware Paillier algorithm,providing accelerated support for homomorphic encryption in modeling.Finally,this paper designs and conducts experiments to evaluate the proposed solution.The experimental results show that in privacy-preserving federated deep learning diagnostic modeling,the method in this paper achieves the same modeling performance as ordinary modeling without privacy protection,and has higher modeling speed compared to similar algorithms.
