3 papers
cs.LG2023
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
Haoxiang Ye, Heng Zhu, Qing Ling
This paper jointly considers privacy preservation and Byzantine-robustness in decentralized learning. In a decentralized network, honest-but-curious agents faithfully follow the pr…
cs.IT2023
Optimal Compression of Unit Norm Vectors in the High Distortion Regime
Heng Zhu, Avishek Ghosh, Arya Mazumdar
Motivated by the need for communication-efficient distributed learning, we investigate the method for compressing a unit norm vector into the minimum number of bits, while still al…
cs.CV2021
Intra-Class Uncertainty Loss Function for Classification
He Zhu, Shan Yu
Most classification models can be considered as the process of matching templates. However, when intra-class uncertainty/variability is not considered, especially for datasets cont…