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Creation of ESL power models for communication architectures using automatic calibration., , , , , , and . DAC, page 58:1-58:58. ACM, (2013)Joint Model Pruning and Topology Construction for Accelerating Decentralized Machine Learning., , , , , and . IEEE Trans. Parallel Distributed Syst., 34 (10): 2827-2842 (October 2023)Decentralized Machine Learning Through Experience-Driven Method in Edge Networks., , , , , and . IEEE J. Sel. Areas Commun., 40 (2): 515-531 (2022)Private Distributed Mean Estimation., and . CoRR, (2020)Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning., , , , and . CoRR, (2022)TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems., , , , and . CoRR, (2019)Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy., , , , , , , , , and 1 other author(s). CoRR, (2019)Adaptive Asynchronous Federated Learning in Resource-Constrained Edge Computing., , , , , , and . IEEE Trans. Mob. Comput., 22 (2): 674-690 (2023)Enhancing Federated Learning With Server-Side Unlabeled Data by Adaptive Client and Data Selection., , , , , and . IEEE Trans. Mob. Comput., 23 (4): 2813-2831 (April 2024)Why Is Public Pretraining Necessary for Private Model Training?, , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 10611-10627. PMLR, (2023)