2 papers
cs.LG2024
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
Mengwei Yang, Ismat Jarin, Baturalp Buyukates +2
Federated Learning (FL) allows clients to train a model collaboratively without sharing their private data. One key challenge in practical FL systems is data heterogeneity, particu…
cs.LG2023
PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning
Tianyue Chu, Mengwei Yang, Nikolaos Laoutaris +1
Federated learning (FL) is a paradigm that allows several client devices and a server to collaboratively train a global model, by exchanging only model updates, without the devices…