Fukami, Takumi

4 publications

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

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

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