Xiaojin Zhang | DeepAI

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Pinyan Lu
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∙ 05/24/2023

Theoretically Principled Federated Learning for Balancing Privacy and Utility

We propose a general learning framework for the protection mechanisms th...

0 Xiaojin Zhang, et al. ∙

∙ 05/07/2023

Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion

Federated learning (FL) enables participating parties to collaboratively...

0 Xiaojin Zhang, et al. ∙

∙ 04/11/2023

A Game-theoretic Framework for Federated Learning

In federated learning, benign participants aim to optimize a global mode...

0 Xiaojin Zhang, et al. ∙

∙ 04/10/2023

Probably Approximately Correct Federated Learning

Federated learning (FL) is a new distributed learning paradigm, with pri...

0 Xiaojin Zhang, et al. ∙

∙ 03/11/2022

No free lunch theorem for security and utility in federated learning

In a federated learning scenario where multiple parties jointly learn a ...

0 Xiaojin Zhang, et al. ∙

∙ 06/19/2021

Variance-Dependent Best Arm Identification

We study the problem of identifying the best arm in a stochastic multi-a...

0 Pinyan Lu, et al. ∙

∙ 02/11/2021

Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously

In this work, we develop linear bandit algorithms that automatically ada...

0 Chung-Wei Lee, et al. ∙

∙ 06/15/2020

Improved algorithm for permutation testing

We study the problem of testing forbidden patterns. The patterns that ar...

0 Xiaojin Zhang, et al. ∙

∙ 05/13/2020

Adaptive Double-Exploration Tradeoff for Outlier Detection

We study a variant of the thresholding bandit problem (TBP) in the conte...

0 Xiaojin Zhang, et al. ∙

∙ 12/02/2019

Improved Algorithm for Tolerant Junta Testing

In this paper, we consider the problem of tolerant junta testing for boo...

0 Xiaojin Zhang, et al. ∙

∙ 11/26/2019

Contextual Combinatorial Conservative Bandits

The problem of multi-armed bandits (MAB) asks to make sequential decisio...

6 Xiaojin Zhang, et al. ∙

∙ 11/25/2019

Near-Optimal Algorithm for Distribution-Free Junta Testing

In this paper, We firstly present an algorithm for the problem of distri...

0 Xiaojin Zhang, et al. ∙

∙ 11/25/2019

Automatic Ensemble Learning for Online Influence Maximization

We consider the problem of selecting a seed set to maximize the expected...

0 Xiaojin Zhang, et al. ∙

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