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A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning.

, , , and . GLOBECOM, page 225-230. IEEE, (2023)

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Distributed Matrix Computations with Low-weight Encodings., , , and . ISIT, page 1979-1984. IEEE, (2023)A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning., , , and . GLOBECOM, page 225-230. IEEE, (2023)Preserving Sparsity and Privacy in Straggler-Resilient Distributed Matrix Computations., , , and . Allerton, page 1-8. IEEE, (2023)Multi-Agent Hybrid SAC for Joint SS-DSA in CRNs., , , and . CoRR, (2024)Do Small Cells Make Sense for Simple Low Cost LPWANs?, , , , and . IEEE Wirel. Commun. Lett., 13 (9): 2352-2356 (September 2024)Coded sparse matrix computation schemes that leverage partial stragglers., and . ISIT, page 1570-1575. IEEE, (2021)Constant Modulus Waveform Design with Block-Level Interference Exploitation for DFRC Systems., , , , and . ICC, page 324-329. IEEE, (2024)Minimum Description Feature Selection for Complexity Reduction in Machine Learning-Based Wireless Positioning., , , , and . IEEE J. Sel. Areas Commun., 42 (9): 2585-2600 (September 2024)A Unified Treatment of Partial Stragglers and Sparse Matrices in Coded Matrix Computation., and . IEEE J. Sel. Areas Inf. Theory, 3 (2): 241-256 (2022)An Integrated Method to Deal with Partial Stragglers and Sparse Matrices in Distributed Computations., and . ISIT, page 1010-1015. IEEE, (2022)