Resilient Decentralized Wireless Federated Learning via Gradient Tracking with AdamW

arXiv:2608.25535 · cs.LG, cs.DC, cs.NI · Submitted 2026-08-26 · Read on arXiv

cs.LG, cs.DC, cs.NI

Submitted: 2026-08-26

Updated: 2026-08-26

Terminology

• Accuracy — 14× in this paper · explained in 1 episode
• Quantization — 11× in this paper · explained in 12 episodes
• Non-IID Data — 8× in this paper · explained in 2 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Federated Learning — 5× in this paper · explained in 15 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Decentralized Learning — 3× in this paper · explained in 2 episodes
• Convergence Guarantees — 2× in this paper · explained in 3 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Decentralized Federated Learning — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Mobile Edge Computing — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Wireless Internet-of-Things — 1× in this paper

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