The new language Rhombus, based on Racket, allows powerful, flexible, and clean macro programming with an easy-to-read syntax ...
Abstract: Federated Learning (FL) enables multiple distributed clients to collaboratively train a model with owned datasets. To avoid the potential privacy threat in FL, researchers propose the DP-FL ...
Abstract: Learning from unlabeled data or self-learning, can substantially reduce the complexity of machine learning (ML) utilization in real-time deployment. While the development of ...
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