Rafael Pinot
12 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (3)
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Academic Marathon
(6)
π£
Hot Topic Early Bird
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Cross-Pollinator
(14)
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Century Club
(12)
Conferences
ICML (5)
NIPS (5)
AISTATS (2)
Top co-authors
Research topics
Keywords
distributed learning
(5)
adversarial robustness
(3)
byzantine resilience
(3)
data heterogeneity
(3)
model aggregation
(2)
robust optimization
(2)
federated learning
(2)
gradient descent
(2)
adversarial attack
(2)
stochastic gradient descent
(2)
utility optimization
(1)
distributed optimization
(1)
differential privacy
(1)
nash equilibrium
(1)
surrogate loss
(1)
mean estimation
(1)
communication efficiency
(1)
adversarial classification
(1)
game theory
(1)
machine learning
(1)
Papers
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
AISTATS 2025
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
ICML 2024
Revisiting Ensembling in One-Shot Federated Learning
NIPS 2024
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
NIPS 2024
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
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
AISTATS 2023
Robust Collaborative Learning with Linear Gradient Overhead
ICML 2023
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums
ICML 2022
Towards Consistency in Adversarial Classification
NIPS 2022
Randomization matters How to defend against strong adversarial attacks
ICML 2020
Theoretical evidence for adversarial robustness through randomization
NIPS 2019