Niwa, Kenta

15 publications

TMLR 2025 Adaptive Clipping for Differential Private Federated Learning in Interpolation Regimes Takumi Fukami, Tomoya Murata, Kenta Niwa

TMLR 2025 Necessary and Sufficient Watermark for Large Language Models Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada

TMLR 2025 NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Llados, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

ICML 2025 Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference Yusuke Yamasaki, Kenta Niwa, Daiki Chijiwa, Takumi Fukami, Takayuki Miura

NeurIPS 2025 Revisiting 1-Peer Exponential Graph for Enhancing Decentralized Learning Efficiency Kenta Niwa, Yuki Takezawa, Guoqiang Zhang, W. Bastiaan Kleijn

ICLR 2024 On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn

AAAI 2024 Optimal Transport with Cyclic Symmetry Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa

NeurIPS 2024 Parameter-Free Clipped Gradient Descent Meets Polyak Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada

ICLR 2024 Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity Tomoya Murata, Kenta Niwa, Takumi Fukami, Iifan Tyou

TMLR 2023 A DNN Optimizer That Improves over AdaBelief by Suppression of the Adaptive Stepsize Range Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn

NeurIPS 2023 Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-Time Convergence Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada

CVPR 2023 Lookahead Diffusion Probabilistic Models for Refining Mean Estimation Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn

TMLR 2023 Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada

CVPR 2022 Bilateral Video Magnification Filter Shoichiro Takeda, Kenta Niwa, Mariko Isogawa, Shinya Shimizu, Kazuki Okami, Yushi Aono

ICML 2021 Asynchronous Decentralized Optimization with Implicit Stochastic Variance Reduction Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn, Noboru Harada, Hiroshi Sawada, Akinori Fujino