Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning 事件

Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning arXiv:2605.27900v1 Announce Type: new Abstract: Federated Learning (FL) with pre-trained Vision-Language Models (VLMs) has emerged as a promising paradigm for various downstream tasks. By leveraging its strong representations, recent studies improve task adaptation under insufficient local data while preserving generalization. However, these methods emphasize fully local optimization with simple parameter aggregation,