John Stephan
6 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(5)
Artificial Intelligence
(2)
Application Areas
(2)
Learning Paradigms · Machine Learning
(2)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Core AI
(1)
Differential Privacy
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types
(1)
Optimization
(1)
Keywords
byzantine resilience
(3)
distributed learning
(3)
gradient descent
(2)
stochastic gradient descent
(2)
adversarial robustness
(2)
federated learning
(2)
machine learning
(1)
model averaging
(1)
distributed machine learning
(1)
convergence guarantee
(1)
data heterogeneity
(1)
byzantine fault tolerance
(1)
privacy-utility trade-off
(1)
nearest neighbor mixing
(1)
robust aggregation
(1)
distributed sgd
(1)
resilient averaging
(1)
distributed momentum
(1)
malicious participant
(1)
shared randomness
(1)
Papers
Adaptive Gradient Clipping for Robust Federated Learning
ICLR 2025
Towards Trustworthy Federated Learning with Untrusted Participants
ICML 2025
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
AISTATS 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