most citedFedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks

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cs.LG2026

FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning

Van Truong Vo, Khoa Nguyen, Taehong Kim

Decentralized intelligence systems with heterogeneous devices and limited coordination increasingly rely on decentralized federated learning (DFL). However, DFL suffers from conver…