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20232026
most citedUnderstanding Generalization of Federated Learning via Stability: Heterogeneity Matters

3 citations · 6 across the 7 of their papers we have counts for

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cs.LG2025

Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning

Baris Askin, Holger R. Roth, Zhenyu Sun +3

Federated learning (FL) enables collaborative model training across distributed clients without sharing raw data, yet its scalability is limited by synchronization overhead. Asynch…