Gupta, Nirupam

10 publications

ICLR 2025 Adaptive Gradient Clipping for Robust Federated Learning Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan

ICML 2024 Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk, Sasha Voitovych

NeurIPS 2024 Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot

NeurIPS 2024 Revisiting Ensembling in One-Shot Federated Learning Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma

AISTATS 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML Under Heterogeneity Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

ICML 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

ICML 2023 Robust Collaborative Learning with Linear Gradient Overhead Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan

NeurIPS 2023 Robust Distributed Learning: Tight Error Bounds and Breakdown Point Under Data Heterogeneity Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Geovani Rizk

ICML 2022 Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan

L4DC 2021 Accelerating Distributed SGD for Linear Regression Using Iterative Pre-Conditioning Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra