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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

K. Nguyen

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Open access Aug 2026

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

FedA2L is introduced, a method that dynamically adjusts layer-wise LRs based on model divergence signals that achieves up to 4.94 times faster convergence than vanilla DFL and reduces communication rounds by up to 59% compared to scheduler-based baselines.

V. T. Vo, K. Nguyen, Taehong Kim · 0 citations

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