FedDiffRec: A Module-wise Training Approach for Diffusion-Based Recommendation in Federated Learning
Abstract: Federated Learning (FL) has become a prominent framework for maintaining privacy in recommender systems by enabling decentralized model training. Despite its benefits, traditional Federated ...
Abstract: Conventional deformable registration methods aim at solving an optimization model carefully designed on image pairs and their computational costs are exceptionally high. In contrast, recent ...
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