66 citations · 66 across the 1 of their papers we have counts for
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.CR2021★ 66 cited
A Systematic Survey of Blockchained Federated Learning
Zhilin Wang, Qin Hu, Minghui Xu +3
With the technological advances in machine learning, effective ways are available to process the huge amount of data generated in real life. However, issues of privacy and scalabil…