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: In the emerging field of urban digital twins, the development of intelligent road inspection robots and automated crack detection systems plays a crucial role in infrastructure maintenance.
Due to the lapse in federal government funding, NASA is not updating this website. When you think about national park and public land astronomy programs, you might picture remote locations far from ...
Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...
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