Federated Learning and Unlearning for Recommendation with Personalized Data Sharing

Liang Qu, Jianxin Li, Wei Yuan +4

Federated recommender systems (FedRS) have emerged as a paradigm for protecting user privacy by keeping interaction data on local devices while coordinating model training through…