ART4FL: An Agent-Based Architectural Approach for Trustworthy Federated Learning in the IoT
Author:
Affiliation:
1. Internet of Things and People Research Center, Malmö University,Sweden
2. School of Information Technology, Halmstad University,Halmstad,Sweden
3. Birzeit University,Department of Computer Science,Palestine
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10305711/10305726/10306036.pdf?arnumber=10306036
Reference22 articles.
1. Federated Learning: Challenges, Methods, and Future Directions
2. Fully Decentralized Federated Learning;lalitha;Third workshop on Bayesian Deep Learning (NeurIPS),0
3. Fate: An Industrial Grade Platform for Collaborative Learning with Data Protection;liu;The Journal of Machine Learning Research,2021
4. Federated Learning in Mobile Edge Networks: A Comprehensive Survey;bryan lim;IEEE Communications Surveys & Tutorials,2020
5. TrustFed: A Framework for Fair and Trustworthy Cross-Device Federated Learning in IIoT
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