2 papers
cs.LG2026
FedFrozen: Two-Stage Federated Optimization via Attention Kernel Freezing
Junye Du, Zhenghao Li, Yushi Feng +1
Federated learning with heterogeneous clients remains a significant challenge for deep learning, primarily due to client drift arising from inconsistent local updates. Existing fed…
cs.AI2026
HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
Yu Feng, Zhen Tian, Haoran Luo +8
Domain Incremental Learning is a critical scenario that requires models to continuously adapt to new data domains without retraining. However, domain shifts often cause severe perf…