Charlie Hou | DeepAI

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∙ 07/31/2023

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

While deep learning (DL) models are state-of-the-art in text and image d...

0 Charlie Hou, et al. ∙

∙ 02/17/2023

Privately Customizing Prefinetuning to Better Match User Data in Federated Learning

In Federated Learning (FL), accessing private client data incurs communi...

9 Charlie Hou, et al. ∙

∙ 08/16/2021

Reducing the Communication Cost of Federated Learning through Multistage Optimization

A central question in federated learning (FL) is how to design optimizat...

0 Charlie Hou, et al. ∙

∙ 02/12/2021

Efficient Algorithms for Federated Saddle Point Optimization

We consider strongly convex-concave minimax problems in the federated se...

0 Charlie Hou, et al. ∙

∙ 12/04/2019

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

Incentive mechanisms are central to the functionality of permissionless ...

0 Charlie Hou, et al. ∙

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