Sharp characterization of optimal minibatch size for stochastic finite sum convex optimization von Nitanda, Atsushi, Murata, Tomoya, Suzuki, Taiji

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Hand Gesture and Character Recognition Based on Kinect Sensor von Murata, Tomoya, Shin, Jungpil

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DP-Norm: Differential Privacy Primal-Dual Algorithm for Decentralized Federated Learning von Fukami, Takumi, Murata, Tomoya, Niwa, Kenta, Tyou, Iifan

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A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity von Tyou, Iifan, Murata, Tomoya, Fukami, Takumi, Takezawa, Yuki, Niwa, Kenta

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Learning Methods for LLMs on Game Data Using RLHF von MURATA, Tomoya, MORI, Naoki, OKADA, Makoto

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DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning von Murata, Tomoya, Suzuki, Taiji

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Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning von Murata, Tomoya, Suzuki, Taiji

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Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning von Murata, Tomoya, Suzuki, Taiji

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Gradient Descent in RKHS with Importance Labeling von Murata, Tomoya, Suzuki, Taiji

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Nonlinear Constant Fatigue Life Diagrams for Symmetric Angle-Ply CFRP Laminates at Room Temperature von KAWAI, Masamichi, MURATA, Tomoya

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SYSTEM, METHOD, AND COMPUTER PROGRAM FOR ENHANCING SOCIAL PLATFORM INFORMATION PROCESSING von MADAAN, Sanyam, MURATA, Tomoya

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SYSTEM, METHOD, AND COMPUTER PROGRAM FOR SOCIAL PLATFORM INFORMATION PRE-PROCESSING von MADAAN, Sanyam, MURATA, Tomoya

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30aTA-7 Neutrino Flux and Neutrino Nucleus CC Reaction von Murata, Tomoya, Sato, Toru

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DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning von Murata, Tomoya, Suzuki, Taiji

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Accelerated Sparsified SGD with Error Feedback von Murata, Tomoya, Suzuki, Taiji

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Neutrino-Nucleus Reaction and Neutrino Flux von Murata, Tomoya, Sato, Toru

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Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning von Murata, Tomoya, Suzuki, Taiji

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Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation von Murata, Tomoya, Suzuki, Taiji

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Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning von Oko, Kazusato, Akiyama, Shunta, Murata, Tomoya, Suzuki, Taiji

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Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning von Murata, Tomoya, Suzuki, Taiji

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