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2020 – today
- 2024
[j4]Takumi Fukami
, Tomoya Murata, Kenta Niwa, Iifan Tyou:
DP-Norm: Differential Privacy Primal-Dual Algorithm for Decentralized Federated Learning. IEEE Trans. Inf. Forensics Secur. 19: 5783-5797 (2024)- [j3]Iifan Tyou, Tomoya Murata, Takumi Fukami, Yuki Takezawa, Kenta Niwa:
A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity. IEEE Trans. Signal Inf. Process. over Networks 10: 94-107 (2024) - [c10]Tomoya Murata, Kenta Niwa, Takumi Fukami, Iifan Tyou:
Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity. ICLR 2024 - [c9]Kazusato Oko, Shunta Akiyama, Denny Wu, Tomoya Murata, Taiji Suzuki:
SILVER: Single-loop variance reduction and application to federated learning. ICML 2024 - 2023
- [c8]Tomoya Murata, Taiji Suzuki:
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning. ICML 2023: 25523-25548 - [i10]Tomoya Murata, Taiji Suzuki:
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning. CoRR abs/2302.03884 (2023) - 2022
- [c7]Tomoya Murata, Taiji Suzuki:
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning. NeurIPS 2022 - [i9]Tomoya Murata, Taiji Suzuki:
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning. CoRR abs/2202.06083 (2022) - [i8]Kazusato Oko, Shunta Akiyama, Tomoya Murata, Taiji Suzuki:
Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning. CoRR abs/2209.00361 (2022) - 2021
- [j2]Atsushi Nitanda, Tomoya Murata, Taiji Suzuki:
Sharp characterization of optimal minibatch size for stochastic finite sum convex optimization. Knowl. Inf. Syst. 63(9): 2513-2539 (2021) - [c6]Tomoya Murata, Taiji Suzuki:
Gradient Descent in RKHS with Importance Labeling. AISTATS 2021: 1981-1989 - [c5]Tomoya Murata, Taiji Suzuki:
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning. ICML 2021: 7872-7881 - [i7]Tomoya Murata, Taiji Suzuki:
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning. CoRR abs/2102.03198 (2021) - 2020
- [c4]Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura:
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error. IJCAI 2020: 2839-2846 - [i6]Tomoya Murata, Taiji Suzuki:
Gradient Descent in RKHS with Importance Labeling. CoRR abs/2006.10925 (2020)
2010 – 2019
- 2019
- [c3]Atsushi Nitanda, Tomoya Murata, Taiji Suzuki:
Sharp Characterization of Optimal Minibatch Size for Stochastic Finite Sum Convex Optimization. ICDM 2019: 488-497 - [i5]Tomoya Murata, Taiji Suzuki:
Accelerated Sparsified SGD with Error Feedback. CoRR abs/1905.12224 (2019) - 2018
- [c2]Tomoya Murata, Taiji Suzuki:
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation. NeurIPS 2018: 5317-5326 - [i4]Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura:
Spectral-Pruning: Compressing deep neural network via spectral analysis. CoRR abs/1808.08558 (2018) - [i3]Tomoya Murata, Taiji Suzuki:
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation. CoRR abs/1809.01765 (2018) - 2017
- [c1]Tomoya Murata, Taiji Suzuki:
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization. NIPS 2017: 608-617 - [i2]Tomoya Murata, Taiji Suzuki:
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization. CoRR abs/1703.00439 (2017) - 2016
- [i1]Tomoya Murata, Taiji Suzuki:
Stochastic dual averaging methods using variance reduction techniques for regularized empirical risk minimization problems. CoRR abs/1603.02412 (2016) - 2014
- [j1]Tomoya Murata, Jungpil Shin:
Hand Gesture and Character Recognition Based on Kinect Sensor. Int. J. Distributed Sens. Networks 10 (2014)
Coauthor Index
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