ICMLNov, 2020
声誉机制即所需:联邦学习中的协作公平和对抗鲁棒性
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Xinyi Xu, Lingjuan Lyu
TL;DR本文提出了一种新的稳健公平联邦学习(Robust and Fair Federated Learning,RFFL)框架,通过声誉机制实现协作公平和对抗鲁棒性,可在基准数据集上实现高公正性并对不同类型的对手非常鲁棒。