3 papers
cs.LG2026
Stabilizing Decentralized Federated Fine-Tuning via Topology-Aware Alternating LoRA
Xiaoyu Wang, Xiaotian Li, Zhixiang Zhou +2
Decentralized federated learning (DFL), a serverless variant of federated learning, poses unique challenges for parameter-efficient fine-tuning due to the factorized structure of l…
cs.LG2025
ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
Xiaoyu Wang, Xiaotian Li, Zhixiang Zhou +2
This paper revisits alternating low-rank updates for federated fine-tuning and examines their behavior in decentralized federated learning (DFL). While alternating the LoRA matrice…
cs.NI2025
DeeP-TE: Data-enabled Predictive Traffic Engineering
Zhun Yin, Xiaotian Li, Lifan Mei +2
Routing configurations of a network should constantly adapt to traffic variations to achieve good network performance. Adaptive routing faces two main challenges: 1) how to accurat…