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Charlie Hou — most-cited papers & profile · Federated Learning
← authors
·
overview
Charlie Hou
6
papers ·
13
citations ·
4
h-index
Impact
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Efficient Algorithms for Federated Saddle Point Optimization
2021 · 9 citations
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning
2021 · 2 citations
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning
2023 · 1 citations
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
2024 · 1 citations
POPri: Private Federated Learning using Preference-Optimized Synthetic Data
2025
Top co-authors
Giulia Fanti
· 5
Daniel Lazar
· 3
Akshat Shrivastava
· 2
Hongyuan Zhan
· 2
Kiran K. Thekumparampil
· 2
Sewoong Oh
· 2
Adithya Sagar
· 1
Aleksandr Livshits
· 1
Mei-Yu Wang
· 1
Rylan Conway
· 1
Sid Wang
· 1
Trang Le
· 1
Topics
Federated Learning
Communication
Optimization
Privacy
Data Heterogeneity