Lie He
7 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
federated learning
(4)
stochastic optimization
(2)
sample complexity
(2)
distributed learning
(2)
byzantine robustness
(2)
decentralized learning
(2)
variance reduction
(1)
sparsity
(1)
reward function
(1)
linear classification
(1)
communication efficiency
(1)
collaborative learning
(1)
bilevel optimization
(1)
spanning tree
(1)
robust optimization
(1)
heterogeneous data
(1)
non-iid data
(1)
client-server architecture
(1)
bias reduction
(1)
model update
(1)
Papers
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
ICML 2025
CoBo: Collaborative Learning via Bilevel Optimization
NeurIPS 2024
Debiasing Conditional Stochastic Optimization
NeurIPS 2023
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
ICLR 2022
Learning from History for Byzantine Robust Optimization
ICML 2021
RelaySum for Decentralized Deep Learning on Heterogeneous Data
NeurIPS 2021
COLA: Decentralized Linear Learning
NeurIPS 2018