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PrivGuard: Privacy Regulation Compliance Made Easier.

, , , , , , , , и . USENIX Security Symposium, стр. 3753-3770. USENIX Association, (2022)

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Tzu-Lun Wang

Angelika Lun

Lun Du

Andreas Lun

Andreas Lun

 

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Creation of ESL power models for communication architectures using automatic calibration., , , , , , и . DAC, стр. 58:1-58:58. ACM, (2013)Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection., , , , , и . IEEE Trans. Mob. Comput., 23 (4): 2813-2831 (апреля 2024)Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing., , , , , , и . IEEE Trans. Mob. Comput., 22 (2): 674-690 (2023)Private Distributed Mean Estimation., и . CoRR, (2020)Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy., , , , , , , , , и 1 other автор(ы). CoRR, (2019)TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems., , , , и . CoRR, (2019)Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning., , , , , и . IEEE Trans. Parallel Distributed Syst., 34 (10): 2827-2842 (октября 2023)Decentralized Machine Learning Through Experience-Driven Method in Edge Networks., , , , , и . IEEE J. Sel. Areas Commun., 40 (2): 515-531 (2022)Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning., , , , и . CoRR, (2022)Byzantine-Robust Federated Learning with Optimal Statistical Rates., , , , , , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 3151-3178. PMLR, (2023)