How Much Regularization Survives Averaging? Update Masking in Federated Learning

arXiv:2608.23286 · cs.LG, cs.AI · Submitted 2026-08-24 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-08-24

Updated: 2026-08-25

Terminology

• Federated Learning — 11× in this paper · explained in 14 episodes
• Regularization — 10× in this paper · explained in 3 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Aggregation — 7× in this paper · explained in 1 episode
• Data Heterogeneity — 4× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Non-IID Data — 2× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Differentially Private — 1× in this paper · explained in 3 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes

Sources

• On Surprising Effectiveness of Masking Updates in Adaptive Optimizers
• FedExP: Speeding Up Federated Averaging via Extrapolation

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