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.CR2021
Hiding Data Hiding
Hanzhou Wu, Gen Liu, Xinpeng Zhang
Data hiding is the art of hiding secret data into a cover object such as digital image for covert communication. In this paper, we make the first step towards hiding ``data hiding'…