1 citations · 3 across the 5 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.LG2025
Communication-Efficient Neural Tangent Kernels for Heterogeneous Decentralized Federated Learning
Li Xia
Decentralized federated learning (DFL) enables collaborative model training without a central server, but converges slowly under statistical heterogeneity. Recent work has shown th…
cs.LG2025★ 1 cited
One-shot Federated Learning Methods: A Practical Guide
Xiang Liu, Zhenheng Tang, Xia Li +6
One-shot Federated Learning (OFL) is a distributed machine learning paradigm that constrains client-server communication to a single round, addressing privacy and communication ove…
cs.CV2025★ 1 cited
Enhanced Structured Lasso Pruning with Class-wise Information
Xiang Liu, Mingchen Li, Xia Li +7
Modern applications require lightweight neural network models. Most existing neural network pruning methods focus on removing unimportant filters; however, these may result in the…