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PIRATE: A Blockchain-based Secure Framework of Distributed Machine
  Learning in 5G Networks

PIRATE: A Blockchain-based Secure Framework of Distributed Machine Learning in 5G Networks

17 December 2019
Sicong Zhou
Huawei Huang
Wuhui Chen
Zibin Zheng
Song Guo
    FedML
ArXivPDFHTML

Papers citing "PIRATE: A Blockchain-based Secure Framework of Distributed Machine Learning in 5G Networks"

7 / 7 papers shown
Title
BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large
  Language Models
BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models
Haoxiang Luo
Jian Luo
Athanasios V. Vasilakos
34
9
0
10 Oct 2023
Trustworthy Federated Learning via Blockchain
Trustworthy Federated Learning via Blockchain
Zhanpeng Yang
Yuanming Shi
Yong Zhou
Zixin Wang
Kai Yang
34
68
0
13 Aug 2022
A Comprehensive Study on Artificial Intelligence Algorithms to Implement
  Safety Using Communication Technologies
A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologies
Rafia Inam
Alberto Hata
Vlasjov Prifti
Sara Abbaspour Asadollah
19
2
0
17 May 2022
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine
  Learning
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning
A. Mondal
Harpreet Virk
Debayan Gupta
37
15
0
06 Feb 2022
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
A Blockchain-based Decentralized Federated Learning Framework with
  Committee Consensus
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus
Yuzheng Li
Chuan Chen
Nan Liu
Huawei Huang
Zibin Zheng
Qiang Yan
FedML
26
397
0
02 Apr 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,032
0
29 Nov 2018
1