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Privacy-Preserving Feature Selection based on Mutual Information., , , , and . GLOBECOM, page 1789-1794. IEEE, (2023)Secure Feature Selection for Vertical Federated Learning in eHealth Systems., , , , and . ICC, page 1257-1262. IEEE, (2022)Scalable Zero-knowledge Proofs for Non-linear Functions in Machine Learning., , , , , , and . USENIX Security Symposium, USENIX Association, (2024)TriFSS: Secure Trigonometric Function Evaluation via Function Secret Sharing., , , , and . ICC, page 1585-1590. IEEE, (2023)Efficient, Private and Robust Federated Learning., , , , and . ACSAC, page 45-60. ACM, (2021)SecMath: An Efficient 2-Party Cryptographic Framework for Math Functions., , , , and . ICC, page 1597-1602. IEEE, (2023)Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract).. AAAI, page 15769-15770. AAAI Press, (2021)SkateboardAI: The Coolest Video Action Recognition for Skateboarding (Student Abstract).. AAAI, page 16184-16185. AAAI Press, (2023)GuardHFL: Privacy Guardian for Heterogeneous Federated Learning., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 4566-4584. PMLR, (2023)Practical and Privacy-Preserving Density-Based Clustering via Shuffling., , , , and . GLOBECOM, page 50-55. IEEE, (2023)