Charlie Hou

According to our database, Charlie Hou authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?

Shuqi Ke, Charlie Hou, Giulia Fanti, Sewoong Oh

CoRR, 2024

2023

Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity.

Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi

CoRR, 2023

Privately Customizing Prefinetuning to Better Match User Data in Federated Learning.

Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar

CoRR, 2023

2022

FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning.

Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Reducing the Communication Cost of Federated Learning through Multistage Optimization.

Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

CoRR, 2021

Efficient Algorithms for Federated Saddle Point Optimization.

Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

CoRR, 2021

SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning.

Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2019

SquirRL: Automating Attack Discovery on Blockchain Incentive Mechanisms with Deep Reinforcement Learning.

Charlie Hou, Mingxun Zhou, Yan Ji, Phil Daian, Florian Tramèr, Giulia Fanti, Ari Juels

CoRR, 2019