PervasiveFL: Pervasive Federated Learning for Heterogeneous IoT Systems

Author:

Xia Jun1ORCID,Liu Tian1,Ling Zhiwei1,Wang Ting1ORCID,Fu Xin2,Chen Mingsong1ORCID

Affiliation:

1. MoE Engineering Research Center of Hardware/Software Co-Design Technology and Application, East China Normal University, Shanghai, China

2. ECE Department, University of Houston, Houston, TX, USA

Funder

National Key Research and Development Program of China

Natural Science Foundation of China

Shanghai Trusted Industry Internet Software Collaborative Innovation Center

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Federated fusion learning with attention mechanism for multi-client medical image analysis;Information Fusion;2024-08

2. A Survey on Heterogeneity Taxonomy, Security and Privacy Preservation in the Integration of IoT, Wireless Sensor Networks and Federated Learning;Sensors;2024-02-01

3. FedComp: A Federated Learning Compression Framework for Resource-Constrained Edge Computing Devices;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2024-01

4. FedEntropy: Efficient Federated Learning for Non-IID Scenarios Using Maximum Entropy Judgment-based Client Selection;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

5. An edge‐assisted federated contrastive learning method with local intrinsic dimensionality in noisy label environment;Software: Practice and Experience;2023-11-30

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