FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning.
Kaiyuan ZhangGuanhong TaoQiuling XuSiyuan ChengShengwei AnYingqi LiuShiwei FengGuangyu ShenPin-Yu ChenShiqing MaXiangyu ZhangPublished in: CoRR (2022)
Keyphrases
- learning algorithm
- data sets
- learning scheme
- reinforcement learning
- active learning
- supervised learning
- machine learning
- learning frameworks
- learning mechanism
- conceptual framework
- learning process
- knowledge acquisition
- theoretical framework
- learning tasks
- learning problems
- learning scenarios
- lower bound
- digital libraries
- distributed learning
- case study