AI RESEARCH
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation
arXiv CS.LG
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ArXi:2509.02970v3 Announce Type: replace Partial participation is essential for communication-efficient federated learning at scale, yet existing Byzantine-robust methods typically assume full client participation. In the partial participation setting, a majority of the sampled clients may be Byzantine, once Byzantine clients dominate, existing methods break down immediately. We