2 papers
cs.LG2025
Efficient Multi-Task Modeling through Automated Fusion of Trained Models
Jingxuan Zhou, Weidong Bao, Ji Wang +2
Although multi-task learning is widely applied in intelligent services, traditional multi-task modeling methods often require customized designs based on specific task combinations…
cs.LG2025
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks
Jingxuan Zhou, Weidong Bao, Ji Wang +3
Federated learning has been extensively studied and applied due to its ability to ensure data security in distributed environments while building better models. However, clients pa…