Ermin Wei
6 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Learning Paradigms · Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Learning Paradigms · Machine Learning
(2)
Optimization
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Core AI
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
federated learning
(3)
stochastic gradient
(1)
stochastic gradient descent
(1)
sample complexity
(1)
distributed learning
(1)
machine unlearning
(1)
minimax optimization
(1)
nash equilibrium
(1)
multi-agent learning
(1)
algorithmic stability
(1)
markov chain
(1)
bandit feedback
(1)
communication efficiency
(1)
second-order optimization
(1)
linear convergence
(1)
generalization bound
(1)
client participation
(1)
lower bound
(1)
poisoning attack
(1)
generative adversarial network
(1)
Papers
Debiasing Federated Learning with Correlated Client Participation
ICLR 2025
Hessian-Free Online Certified Unlearning
ICLR 2025
Improved Lower Bounds for First-order Stochastic Non-convex Optimization under Markov Sampling
ICML 2025
Single-agent Poisoning Attacks Suffice to Ruin Multi-Agent Learning
ICLR 2025
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters
AISTATS 2024
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
NeurIPS 2022