Nirupam Gupta
10 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (14)
π
Renaissance Researcher
(5)
π
Conference Polyglot
(5)
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
ICML (4)
NIPS (3)
AISTATS (1)
ICLR (1)
L4DC (1)
Top co-authors
Research topics
Keywords
distributed learning
(6)
stochastic gradient descent
(3)
data heterogeneity
(3)
byzantine resilience
(3)
model aggregation
(2)
federated learning
(2)
adversarial robustness
(2)
gradient descent
(2)
robust optimization
(2)
linear regression
(1)
communication efficiency
(1)
model averaging
(1)
distributed machine learning
(1)
byzantine fault tolerance
(1)
one-shot federated learning
(1)
model ensembling
(1)
client-server architecture
(1)
nearest neighbor mixing
(1)
robust aggregation
(1)
iterative pre-conditioning
(1)
Papers
Adaptive Gradient Clipping for Robust Federated Learning
ICLR 2025
Revisiting Ensembling in One-Shot Federated Learning
NIPS 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
NIPS 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
ICML 2024
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
AISTATS 2023
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity
NIPS 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
ICML 2023
Robust Collaborative Learning with Linear Gradient Overhead
ICML 2023
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
ICML 2022
Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning
L4DC 2021