2 papers
cs.DC2026
Three Birds, One Stone: Solving the Communication-Memory-Privacy Trilemma in LLM Fine-tuning Over Wireless Networks with Zeroth-Order Optimization
Zhijie Cai, Yuhao Zheng, Haolong Chen +3
Federated Learning (FL) offers a promising pathway for collaboratively fine-tuning Large Language Models (LLMs) at the edge; however, this paradigm faces a critical bottleneck: the…
math.OC2026
Communication-Efficient Decentralized Optimization via Double-Communication Symmetric ADMM
Jinrui Huang, Xueqin Wang, Dong Liu +2
This paper focuses on decentralized composite optimization over networks without a central coordinator. We propose a novel decentralized symmetric ADMM algorithm that incorporates…