Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach

Author:

Li BeibeiORCID,Wang PeiranORCID,Shao ZeruiORCID,Liu Ao,Jiang YukunORCID,Li YizhouORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

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3. Federated learning;Yang;Synth. Lect. Artif. Intell. Machine Learn.,2019

4. J. Luo, S. Wu, Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning, in: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, 2022, pp. 2166–2173.

5. Efficient task assignment in spatial crowdsourcing with worker and task privacy protection;Liu;GeoInformatica,2018

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1. Decentralized Federated Learning Links for Biometric Recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Survey: federated learning data security and privacy-preserving in edge-Internet of Things;Artificial Intelligence Review;2024-04-29

3. Byzantine Robust Federated Learning Scheme Based on Backdoor Triggers;Computers, Materials & Continua;2024

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