ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.06912
  4. Cited By
Blockchain-based Trustworthy Federated Learning Architecture

Blockchain-based Trustworthy Federated Learning Architecture

16 August 2021
Sin Kit Lo
Yue Liu
Qinghua Lu
Chen Wang
Xiwei Xu
Hye-Young Paik
Liming Zhu
    FedML
ArXivPDFHTML

Papers citing "Blockchain-based Trustworthy Federated Learning Architecture"

7 / 7 papers shown
Title
End-to-End Verifiable Decentralized Federated Learning
End-to-End Verifiable Decentralized Federated Learning
Chaehyeon Lee
Jonathan Heiss
Stefan Tai
James Won-Ki Hong
24
2
0
19 Apr 2024
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
31
9
0
28 Mar 2024
Trustworthy Federated Learning: A Survey
Trustworthy Federated Learning: A Survey
A. Tariq
M. Serhani
F. Sallabi
Tariq Qayyum
E. Barka
K. Shuaib
FedML
25
9
0
19 May 2023
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI
  Governance and Engineering
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering
Qinghua Lu
Liming Zhu
Xiwei Xu
Jon Whittle
Didar Zowghi
Aurelie Jacquet
AI4TS
41
55
0
12 Sep 2022
Advancing Blockchain-based Federated Learning through Verifiable
  Off-chain Computations
Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations
Jonathan Heiss
Elias Grunewald
Nikolas Haimerl
Stefan Schulte
Stefan Tai
FedML
15
28
0
23 Jun 2022
Proof of Federated Training: Accountable Cross-Network Model Training
  and Inference
Proof of Federated Training: Accountable Cross-Network Model Training and Inference
Sarthak Chakraborty
Sandip Chakraborty
FedML
13
2
0
14 Apr 2022
Towards Verifiable Federated Learning
Towards Verifiable Federated Learning
Yanci Zhang
Hanyou Yu
FedML
6
21
0
15 Feb 2022
1