AI RESEARCH
FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data
arXiv CS.LG
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ArXi:2606.03094v1 Announce Type: new Recent advances in language models have established reinforcement learning as the primary paradigm for eliciting self-correction and long-chain reasoning. While group relative policy optimization (GRPO) offers superior scalability by eliminating the critic network, deploying it on a central infrastructure entails collecting a large volume of data from distributed owners, which poses significant privacy risks. To address these concerns, we