most citedEcho of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model

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

collaborators

2 papers

cs.CV2023

Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch

Pan Du, Suyun Zhao, Zisen Sheng +2

Semi-Supervised Learning (SSL) under class distribution mismatch aims to tackle a challenging problem wherein unlabeled data contain lots of unknown categories unseen in the labele…

cs.CR2023★ 2 cited

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model

Yixuan Liu, Suyun Zhao, Li Xiong +2

Federated Learning, as a popular paradigm for collaborative training, is vulnerable against privacy attacks. Different privacy levels regarding users' attitudes need to be satisfie…