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Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation.

, , and . ISIT, page 2732-2737. IEEE, (2021)

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Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation., , and . ISIT, page 2732-2737. IEEE, (2021)Vehicular Intelligence at the Edge: A Decentralized Federated Learning Approach for Technology Recognition., , , , , and . VNC, page 283-289. IEEE, (2024)Integration of Dynamic Equation of Spring-Mass-Damper Systems via Chebyshev Polynomials., and . Int. J. Comput. Math., 79 (8): 923-930 (2002)Differentially Private Community Detection over Stochastic Block Models with Graph Sketching., , and . CISS, page 1-6. IEEE, (2023)Comparative Study for Some Memristor models in Different Circuit Applications., , , and . ICM, page 262-266. IEEE, (2019)Random Orthogonalization for Private Wireless Federated Learning., , , and . ACSSC, page 233-236. IEEE, (2023)Exploring the Privacy-Energy Consumption Tradeoff for Split Federated Learning., , , and . CoRR, (2023)Censoring for Improved Sensing Performance in Infrastructure-Less Cognitive Radio Networks., , and . VTC Spring, page 1-5. IEEE, (2015)Context Aware Laplacian Mechanism for Local Information Privacy., , and . ITW, page 1-5. IEEE, (2019)Cooperative D2D communication in downlink cellular networks with energy harvesting capability., , , and . IWCMC, page 183-189. IEEE, (2017)