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Gang Wang

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Open access 2026

AMBER: Robust Federated Learning Based on Client Verification

This paper analyzes client-side vulnerabilities in three chained stages of local training: local dataset pollution, model selective inputs, and training process tampering and proposes AMBER, a robust FL framework with a novel three-layer verification mechanism for client trust assessment.

Xiaohu Shan, Haiyang Yu, Gang Wang et al. · 0 citations