Yan Kang

Trading Off Privacy, Utility and Efficiency in Federated Learning

2022 · arXiv (Cornell University)

Federated learning (FL) enables participating parties to collaboratively build a global model with boosted utility without disclosing private data information. Appropriate protection mechanisms have to be adopted to fulfill the opposing requirements in preserving \textit{privacy} …