Charlie Hou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Dirichlet Distribution

Reinforcement Learning

Top Venues

Publications

Shuqi Ke, Charlie Hou, Giulia Fanti, Sewoong Oh
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune? CoRR (2024)
Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs. CoRR (2024)
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity. CoRR (2023)
Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Sasha Livshits, Giulia Fanti, Daniel Lazar
Privately Customizing Prefinetuning to Better Match User Data in Federated Learning. CoRR (2023)
Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning. ICLR (2022)
Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
Reducing the Communication Cost of Federated Learning through Multistage Optimization. CoRR (2021)
Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh
Efficient Algorithms for Federated Saddle Point Optimization. CoRR (2021)
Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels
SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning. NDSS (2021)
Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels
SquirRL: Automating Attack Discovery on Blockchain Incentive Mechanisms with Deep Reinforcement Learning. CoRR (2019)