Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning

6 February 2024

Papers citing "Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning"

3 / 3 papers shown

Title
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 108 611 0 27 Dec 2020
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 114 123 0 24 Oct 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 182 1,032 0 29 Nov 2018