7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Bayesian Federated Model Compression for Communication and Computation Efficiency
Chengyu Xia, Danny H. K. Tsang, Vincent K. N. Lau
In this paper, we investigate Bayesian model compression in federated learning (FL) to construct sparse models that can achieve both communication and computation efficiencies. We…
cs.LG2023★ 7 cited
Structured Bayesian Compression for Deep Neural Networks Based on The Turbo-VBI Approach
Chengyu Xia, Danny H. K. Tsang, Vincent K. N. Lau
With the growth of neural network size, model compression has attracted increasing interest in recent research. As one of the most common techniques, pruning has been studied for a…