John Stephan
6 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(10)
🌉
Interdisciplinary Bridge
Conferences
ICML (4)
AISTATS (1)
ICLR (1)
Top co-authors
Research topics
Keywords
distributed learning
(3)
byzantine resilience
(3)
stochastic gradient descent
(2)
mean estimation
(1)
distributed optimization
(1)
utility optimization
(1)
gradient descent
(1)
machine learning
(1)
model averaging
(1)
distributed machine learning
(1)
data heterogeneity
(1)
byzantine fault tolerance
(1)
nearest neighbor mixing
(1)
robust aggregation
(1)
distributed sgd
(1)
resilient averaging
(1)
differential privacy
(1)
distributed momentum
(1)
robust optimization
(1)
adversarial robustness
(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