PureFed: An Efficient Collaborative and Trustworthy Federated Learning Framework Based on Blockchain Network
This paper introduces PureFed, an innovative Federated Learning (FL) framework designed
for efficiency, collaboration, and trustworthiness. In the background of FL research, it was …
for efficiency, collaboration, and trustworthiness. In the background of FL research, it was …
DEFL: A Novel Blockchain Fully-Orchestrated Federated Learning Framework
B Boussofara, I Ayari, R Friji… - 2023 International …, 2023 - ieeexplore.ieee.org
During the last few years, federated Learning (FL), an AI paradigm shift, has become an
active research field, coming to allow the collaborative training of machine/deep learning …
active research field, coming to allow the collaborative training of machine/deep learning …
Privacy-preserving in Blockchain-based Federated Learning systems
Federated Learning (FL) has recently arisen as a revolutionary approach to collaborative
training Machine Learning models. According to this novel framework, multiple participants …
training Machine Learning models. According to this novel framework, multiple participants …
Privacy-Preserving in Blockchain-based Federated Learning Systems
Federated Learning (FL) has recently arisen as a revolutionary approach to collaborative
training Machine Learning models. According to this novel framework, multiple participants …
training Machine Learning models. According to this novel framework, multiple participants …
FabricFL: Blockchain-in-the-loop federated learning for trusted decentralized systems
Federated learning (FL) enables collaborative training of machine learning (ML) models
while preserving user data privacy. Existing FL approaches can potentially facilitate …
while preserving user data privacy. Existing FL approaches can potentially facilitate …
[PDF][PDF] Securing federated learning with blockchain: a systematic
A Qammar, A Karim, H Ning, J Ding - 2022 - academia.edu
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
BlockFed: A High-Performance and Trustworthy Blockchain-Based Federated Learning Framework
Recent advances in Blockchain-based Federated Learning (FL) aim to address the inherent
limitations of traditional FL, such as single node failure and the lack of an appropriate …
limitations of traditional FL, such as single node failure and the lack of an appropriate …
Securing federated learning with blockchain: a systematic literature review
Federated learning (FL) is a promising framework for distributed machine learning that trains
models without sharing local data while protecting privacy. FL exploits the concept of …
models without sharing local data while protecting privacy. FL exploits the concept of …
A survey on secure and private federated learning using blockchain: Theory and application in resource-constrained computing
E Moore, A Imteaj, S Rezapour… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Federated learning (FL) has gained widespread popularity in recent years due to the fast
booming of advanced machine learning and artificial intelligence, along with emerging …
booming of advanced machine learning and artificial intelligence, along with emerging …
A study of blockchain-based federated learning
Federated Learning (FL) has made an essential step towards enhancing the privacy of
traditional model training. However, gaps in the conventional FL framework make it …
traditional model training. However, gaps in the conventional FL framework make it …