2 papers
cs.LG2024
Upcycling Noise for Federated Unlearning
Jianan Chen, Qin Hu, Fangtian Zhong +2
In Federated Learning (FL), multiple clients collaboratively train a model without sharing raw data. This paradigm can be further enhanced by Differential Privacy (DP) to protect l…
cs.GT2022
Social Welfare Maximization in Cross-Silo Federated Learning
Jianan Chen, Qin Hu, Honglu Jiang
As one of the typical settings of Federated Learning (FL), cross-silo FL allows organizations to jointly train an optimal Machine Learning (ML) model. In this case, some organizati…