2025
FedDiffRec: A Module-wise Training Approach for Diffusion-Based Recommendation in Federated Learning
ICASSP 2025accepted
Federated Learning (FL) has become a prominent framework for maintaining privacy in recommender systems by enabling decentralized model training. Despite its benefits, traditional Federated Recommender Systems (FRSs)—often relying on collaborative filtering or generative models such as Variational A…