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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
Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning
Tinnakit Udsa, Can Udomcharoenchaikit, Patomporn Payoungkhamdee +2
Federated learning (FL) enables collaborative training without raw data sharing, but still risks training data memorization. Existing FL memorization detection techniques focus on…