Shengyuan Hu | DeepAI

AI Chat

Featured Co-authors

Zhe Liu
107 publications
Tao Yu
92 publications
Zhiwei Steven Wu
90 publications
Yue Liu
77 publications
Kilian Q. Weinberger
70 publications
Wei-Lun Chao
53 publications
Chuan Guo
42 publications
Virginia Smith
37 publications
Ahmad Beirami
36 publications
Tian Li
25 publications
Ziyu Liu
12 publications

∙ 02/16/2023

Federated Learning as a Network Effects Game

Federated Learning (FL) aims to foster collaboration among a population ...

0 Shengyuan Hu, et al. ∙

∙ 06/16/2022

On Privacy and Personalization in Cross-Silo Federated Learning

While the application of differential privacy (DP) has been well-studied...

0 Ziyu Liu, et al. ∙

∙ 04/04/2022

FedSynth: Gradient Compression via Synthetic Data in Federated Learning

Model compression is important in federated learning (FL) with large mod...

6 Shengyuan Hu, et al. ∙

∙ 03/18/2022

Provably Fair Federated Learning via Bounded Group Loss

In federated learning, fair prediction across various protected groups (...

0 Shengyuan Hu, et al. ∙

∙ 08/30/2021

Private Multi-Task Learning: Formulation and Applications to Federated Learning

Many problems in machine learning rely on multi-task learning (MTL), in ...

0 Shengyuan Hu, et al. ∙

∙ 12/08/2020

Federated Multi-Task Learning for Competing Constraints

In addition to accuracy, fairness and robustness are two critical concer...

0 Tian Li, et al. ∙

∙ 10/16/2019

A New Defense Against Adversarial Images: Turning a Weakness into a Strength

Natural images are virtually surrounded by low-density misclassified reg...

0 Tao Yu, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world