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most citedThe Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation

11 citations · 17 across the 13 of their papers we have counts for

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cs.LG2025

Task-Agnostic Federated Continual Learning via Replay-Free Gradient Projection

Seohyeon Cha, Huancheng Chen, Haris Vikalo

Federated continual learning (FCL) enables collaborative model training across distributed clients on sequentially arriving tasks without revisiting past data. However, existing ap…