4 papers · 1 filter
One-Shot Federated Model Editing for Device Dynamics at the Edge
Youming Tao, Weijun Yin, Huanyi Xie +5
Standard federated learning (FL) requires persistent device connectivity across multiple communication rounds, making it unsuitable for dynamic environments such as vehicular netwo…
FedSubMuon: Communication-Efficient Federated LLM Fine-Tuning via Structured Subspace Muon
Shaolong Chen, Youming Tao, Shuzhen Chen +3
Federated fine-tuning adapts large language models (LLMs) to decentralized client data, but its scalability in cross-device training is often limited by the high communication cost…
Certified Unlearning in Decentralized Federated Learning
Hengliang Wu, Youming Tao, Anhao Zhou +3
Driven by the right to be forgotten (RTBF), machine unlearning has become an essential requirement for privacy-preserving machine learning. However, its realization in decentralize…
Second-Order Convergence in Private Stochastic Non-Convex Optimization
Youming Tao, Zuyuan Zhang, Dongxiao Yu +3
We investigate the problem of finding second-order stationary points (SOSP) in differentially private (DP) stochastic non-convex optimization. Existing methods suffer from two key…