AI RESEARCH
DART: A Server-side Plug-in for Resource-efficient Robust Federated Learning
arXiv CS.LG
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ArXi:2508.17381v2 Announce Type: replace Federated learning (FL) emerged as a popular distributed algorithm to train machine learning models on edge devices while preserving data privacy. However, FL systems face challenges due to client-side computational constraints and from a lack of robustness to naturally occurring common corruptions such as noise, blur, and weather effects. Existing robust