most citedSurrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 2 cited

Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning

Junyi Zhu, Ruicong Yao, Matthew B. Blaschko

In Federated Learning (FL) and many other distributed training frameworks, collaborators can hold their private data locally and only share the network weights trained with the loc…

cs.LG2023

Confidence-aware Personalized Federated Learning via Variational Expectation Maximization

Junyi Zhu, Xingchen Ma, Matthew B. Blaschko

Federated Learning (FL) is a distributed learning scheme to train a shared model across clients. One common and fundamental challenge in FL is that the sets of data across clients…