Preprint Open access
When to Intervene? State-Aware Sparse Manipulation in Federated Reinforcement Learning
Federated reinforcement learning (FRL) enables distributed agents to collaboratively train decision-making policies, but its decentralized training process also exposes global policy learning to Byzantine manipulation. Existing poisoning attacks primarily focus on how to construct malicious updates, while trajectory-le …