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math.OC2025
Non-Asymptotic Global Convergence of PPO-Clip
Yin Liu, Qiming Dai, Junyu Zhang +1
Reinforcement learning has gained attention for modern Large Language Model post-training. The actor-only variants of Proximal Policy Optimization (PPO) are widely applied for thei…
math.OC2023
Sharper Convergence Guarantees for Federated Learning with Partial Model Personalization
Yiming Chen, Liyuan Cao, Kun Yuan +1
Partial model personalization, which encompasses both shared and personal variables in its formulation, is a critical optimization problem in federated learning. It balances indivi…