2 papers
cs.DC2025
Robust Federated Fine-Tuning in Heterogeneous Networks with Unreliable Connections: An Aggregation View
Yanmeng Wang, Zhiwen Dai, Shuai Wang +4
Federated Fine-Tuning (FFT) has attracted growing interest as it leverages both server- and client-side data to enhance global model generalization while preserving privacy, and si…
cs.DC2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Yanmeng Wang, Wenkai Ji, Jian Zhou +2
Federated learning (FL) has emerged as a promising distributed learning paradigm for training deep neural networks (DNNs) at the wireless edge, but its performance can be severely…