3 papers
eess.IV2025
Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos
Zheng Fang, Xiaoming Qi, Chun-Mei Feng +3
Surgical instrument segmentation under Federated Learning (FL) is a promising direction, which enables multiple surgical sites to collaboratively train the model without centralizi…
cs.LG2025
Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning
Xiaoming Qi, Jingyang Zhang, Huazhu Fu +3
Federated continual learning (FCL) offers an emerging pattern to facilitate the applicability of federated learning (FL) in real-world scenarios, where tasks evolve dynamically and…
cs.LG2025
Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL
Xiaoming Qi, Jingyang Zhang, Huazhu Fu +3
Federated continual learning (FCL) offers an emerging pattern to facilitate the applicability of federated learning (FL) in real-world scenarios, where tasks evolve dynamically and…