Author

Jinlin He

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Open access Aug 2026

InfRA-FL: Information-Driven Robust Federated Learning via Saturation-Aware Reinforcement Learning

Experiments show that InfRA-FL outperforms state-of-the-art baselines by 5–10% in accuracy while accelerating convergence, establishing that principled information-theoretic observation and robust reward design suffice to secure RL-driven federated learning against targeted poisoning.

Jiao Tian, Jinlin He, Lie-Jun Wang · Machine Learning and Knowled... · 0 citations