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Neural Network Compression for Noisy Storage Devices., , , , , , and . ACM Trans. Embed. Comput. Syst., 22 (3): 58:1-58:29 (2023)Learning under Storage and Privacy Constraints., and . ISIT, page 1844-1849. IEEE, (2022)An Information-Theoretic Justification for Model Pruning., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3821-3846. PMLR, (2022)Communication-Efficient Federated Learning through Importance Sampling., , , , , and . CoRR, (2023)Scaling Laws for Downstream Task Performance of Large Language Models., , , , , and . CoRR, (2024)Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation., , , , and . CoRR, (2023)rTop-k: A Statistical Estimation Approach to Distributed SGD., , , and . IEEE J. Sel. Areas Inf. Theory, 1 (3): 897-907 (2020)Neural 3D Scene Compression via Model Compression.. CoRR, (2021)LVAC: Learned Volumetric Attribute Compression for Point Clouds using Coordinate Based Networks., , , , and . CoRR, (2021)Sandwiched Video Compression: Efficiently Extending the Reach of Standard Codecs with Neural Wrappers., , , , and . ICIP, page 2055-2059. IEEE, (2023)