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Quantized Reinforcement Learning (QUARL)., , , , , and . CoRR, (2019)Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference., , , , and . CoRR, (2022)Precision Batching: Bitserial Decomposition for Efficient Neural Network Inference on GPUs., , , and . PACT, page 129-141. IEEE, (2021)Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5959-5968. PMLR, (2021)Gradient Diversity Empowers Distributed Learning., , , , , and . CoRR, (2017)Cataloging the visible universe through Bayesian inference in Julia at petascale., , , , , , , , , and 2 other author(s). J. Parallel Distributed Comput., (2019)Quantized Neural Network Inference with Precision Batching., , , and . CoRR, (2020)Widening Access to Applied Machine Learning with TinyML., , , , , , , , , and 14 other author(s). CoRR, (2021)GPU-based Private Information Retrieval for On-Device Machine Learning Inference., , , , , , , , , and 4 other author(s). ASPLOS (1), page 197-214. ACM, (2024)GPU-based Private Information Retrieval for On-Device Machine Learning Inference., , , , , , , , , and 4 other author(s). CoRR, (2023)