Kang Wei | DeepAI

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167 publications
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141 publications
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∙ 08/04/2023

Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity

With the rapid proliferation of smart mobile devices, federated learning...

0 Xuefeng Han, et al. ∙

∙ 05/02/2023

Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing

Federated learning (FL) is a collaborative learning paradigm for decentr...

22 Yifan Shi, et al. ∙

∙ 05/01/2023

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy

To defend the inference attacks and mitigate the sensitive information l...

3 Yifan Shi, et al. ∙

∙ 04/09/2023

Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy

Federated learning (FL) enables distributed clients to collaboratively t...

0 Kang Wei, et al. ∙

∙ 04/09/2023

Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning

Hierarchical Federated Learning (HFL) is a distributed machine learning ...

0 Shunfeng Chu, et al. ∙

∙ 03/20/2023

Make Landscape Flatter in Differentially Private Federated Learning

To defend the inference attacks and mitigate the sensitive information l...

0 Yifan Shi, et al. ∙

∙ 03/07/2023

Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning

While preserving the privacy of federated learning (FL), differential pr...

0 Xin Yuan, et al. ∙

∙ 02/08/2023

Improving the Model Consistency of Decentralized Federated Learning

To mitigate the privacy leakages and communication burdens of Federated ...

10 Yifan Shi, et al. ∙

∙ 10/26/2022

Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks

Federated Learning (FL) empowers Industrial Internet of Things (IIoT) wi...

0 Xiumei Deng, et al. ∙

∙ 02/18/2022

Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning

Motivated by the advancing computational capacity of distributed end-use...

0 Chuan Ma, et al. ∙

∙ 02/09/2022

Vertical Federated Learning: Challenges, Methodologies and Experiments

Recently, federated learning (FL) has emerged as a promising distributed...

16 Kang Wei, et al. ∙

∙ 05/31/2021

On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels

Blockchain assisted federated learning (BFL) has been intensively studie...

0 Xiumei Deng, et al. ∙

∙ 05/10/2021

Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

Owing to the low communication costs and privacy-promoting capabilities,...

7 Chuan Ma, et al. ∙

∙ 01/28/2021

Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization

Federated learning (FL), as a type of distributed machine learning frame...

12 Kang Wei, et al. ∙

∙ 01/18/2021

Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation

Federated learning (FL), as a distributed machine learning paradigm, pro...

14 Jun Li, et al. ∙

∙ 07/04/2020

RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network

Generative adversarial network (GAN) has attracted increasing attention ...

13 Chuan Ma, et al. ∙

∙ 04/11/2020

DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length

The error correcting performance of multi-level-cell (MLC) NAND flash me...

0 Cheng Wang, et al. ∙

∙ 02/29/2020

Performance Analysis and Optimization in Privacy-Preserving Federated Learning

As a means of decentralized machine learning, federated learning (FL) ha...

0 Kang Wei, et al. ∙

∙ 11/01/2019

Federated Learning with Differential Privacy: Algorithms and Performance Analysis

In this paper, to effectively prevent information leakage, we propose a ...

0 Kang Wei, et al. ∙

∙ 11/01/2019

Performance Analysis on Federated Learning with Differential Privacy

In this paper, to effectively prevent the differential attack, we propos...

0 Kang Wei, et al. ∙

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