Abstract: Traditional recommender systems are difficult to fully explore the complex correlation between multimodal data and cannot meet learners' personalized needs. To this end, this paper proposes ...
Abstract: Federated Learning (FL) has emerged as an approach to provide a privacy-preserving and communication-efficient Machine Learning (ML) framework in mobile-edge environments which are likely to ...
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