1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
Chunhang Zheng, Kechao Cai
Traditional approaches to semantic communication tasks rely on the knowledge of the signal-to-noise ratio (SNR) to mitigate channel noise. Moreover, these methods necessitate train…
cs.CR2023★ 1 cited
BAGEL: Backdoor Attacks against Federated Contrastive Learning
Yao Huang, Kongyang Chen, Jiannong Cao +5
Federated Contrastive Learning (FCL) is an emerging privacy-preserving paradigm in distributed learning for unlabeled data. In FCL, distributed parties collaboratively learn a glob…