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T-FedHA: A Trusted Hierarchical Asynchronous Federated Learning Framework for Internet of Things

  • Published:2024-07 Issue: Volume:245 Page:123006
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Cao YangORCID,Liu DetianORCID,Zhang ShiqiangORCID,Wu TongjuanORCID,Xue FeiORCID,Tang HengliangORCID

Funder

Beijing Municipal Commission of Education

Beijing Municipal Education Commission

Beijing Social Science Fund

Beijing Wuzi University

Beijing Municipal Social Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

1. Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges;Ali;Computers & Security,2021

2. A survey on security and privacy issues in edge-computing-assisted internet of things;Alwarafy;IEEE Internet of Things Journal,2020

3. A decentralized trust management system for intelligent transportation environments;Chen;IEEE Transactions on Intelligent Transportation Systems,2020

4. Asynchronous online federated learning for edge devices with non-iid data;Chen,2020

5. BAFL: A blockchain-based asynchronous federated learning framework;Feng;IEEE Transactions on Computers,2021

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