80 citations · 96 across the 34 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
CoASFL: Coupled Consistency Optimization for Asynchronous Split Federated Learning
Junhao Cheng, Yunming Liao, Hongli Xu +2
Split Federated Learning (SFL) has emerged as a promising paradigm for training large-scale deep models on resource-constrained edge devices. Although asynchronous SFL alleviates t…
cs.LG2025
Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking
Yuatyong Chaichana, Thanapat Trachu, Peerat Limkonchotiwat +3
In the era of large-scale training, model merging has evolved into a tool for creating multitasking models efficiently. It enables the knowledge of models to be fused, without the…