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Blockchain and Federated Edge Learning for Privacy-Preserving Mobile
  Crowdsensing

Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing

16 October 2021
Qin Hu
Zhilin Wang
Minghui Xu
Xiuzhen Cheng
ArXivPDFHTML

Papers citing "Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing"

11 / 11 papers shown
Title
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive
  Survey on Blockchain-based Federated Learning
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning
Ji Liu
Chunlu Chen
Yu Li
Lin Sun
Yulun Song
Jingbo Zhou
Bo Jing
Dejing Dou
48
9
0
28 Mar 2024
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy,
  Minimal Failure, and Enhanced Quality
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality
Biwei Yan
Hongliang Zhang
Minghui Xu
Dongxiao Yu
Xiuzhen Cheng
44
5
0
15 Jan 2024
A Blockchain-empowered Multi-Aggregator Federated Learning Architecture
  in Edge Computing with Deep Reinforcement Learning Optimization
A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization
Xiao Li
Wei Wu
28
0
0
14 Oct 2023
Matching-based Hybrid Service Trading for Task Assignment over Dynamic
  Mobile Crowdsensing Networks
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks
Houyi Qi
Minghui Liwang
Seyyedali Hosseinalipour
Xiaoyu Xia
Zhipeng Cheng
Xianbin Wang
Zhenzhen Jiao
18
13
0
25 Jun 2023
Resource Optimization for Blockchain-based Federated Learning in Mobile
  Edge Computing
Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing
Zhilin Wang
Qin Hu
Zehui Xiong
42
6
0
05 Jun 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic
  Literature Review
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
Leon Witt
Mathis Heyer
Kentaroh Toyoda
Wojciech Samek
Dan Li
FedML
33
47
0
07 May 2022
Latency Optimization for Blockchain-Empowered Federated Learning in
  Multi-Server Edge Computing
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing
Dinh C. Nguyen
Seyyedali Hosseinalipour
David J. Love
P. Pathirana
Christopher G. Brinton
31
47
0
18 Mar 2022
Incentive Mechanism Design for Joint Resource Allocation in
  Blockchain-based Federated Learning
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning
Zhilin Wang
Qin Hu
Ruinian Li
Minghui Xu
Zehui Xiong
FedML
40
49
0
18 Feb 2022
Defense Strategies Toward Model Poisoning Attacks in Federated Learning:
  A Survey
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey
Zhilin Wang
Qiao Kang
Xinyi Zhang
Qin Hu
AAML
FedML
59
21
0
13 Feb 2022
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning
Minghui Xu
Zong-bao Zou
Ye Cheng
Qin Hu
Dongxiao Yu
Xiuzhen Cheng
27
3
0
06 Jan 2022
A Systematic Survey of Blockchained Federated Learning
A Systematic Survey of Blockchained Federated Learning
Zhilin Wang
Qin Hu
Minghui Xu
Zhuang Yan
Yawei Wang
Xiuzhen Cheng
FedML
48
45
0
05 Oct 2021
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