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Scalable and accurate deep learning with electronic health records

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

A Hybrid Approach to Privacy-Preserving Federated Learning

Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges

SplitFed: When Federated Learning Meets Split Learning

Vertical Federated Learning: Concepts, Advances, and Challenges