Lie He
7 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (3) 🧭 Keyword Pioneer
🐣
Hot Topic Early Bird
🔥
Unstoppable
(5)
Conferences
NIPS (4)
ICML (2)
ICLR (1)
Top co-authors
Keywords
federated learning
(3)
stochastic optimization
(2)
decentralized learning
(2)
distributed optimization
(1)
variance reduction
(1)
linear classification
(1)
communication efficiency
(1)
collaborative learning
(1)
bilevel optimization
(1)
spanning tree
(1)
byzantine robustness
(1)
heterogeneous datum
(1)
client-server architecture
(1)
bias reduction
(1)
model update
(1)
information propagation
(1)
on-device learning
(1)
robust aggregation
(1)
gossip averaging
(1)
sample complexity
(1)
Papers
Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective
ICML 2025
CoBo: Collaborative Learning via Bilevel Optimization
NIPS 2024
Debiasing Conditional Stochastic Optimization
NIPS 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
NIPS 2021
COLA: Decentralized Linear Learning
NIPS 2018