A python implementation of a blockchain-based framework of decentralised federated edge learning
Federated Learning (FL) is a machine learning technique that allows multiple actors to train a single machine learning model without sharing any local data. This technique is gaining popularity as agencies these days are increasingly concerned about data privacy and security. With blockchain tec...
Saved in:
Main Author: | Tee, Zheng Yang |
---|---|
Other Authors: | Dusit Niyato |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/162941 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Developing a blockchain-based framework for decentralised federated edge learning
by: Koh, Nicholas Hong Soo
Published: (2021) -
Multi-blockchain framework for scalable and communication-efficient federated edge learning
by: Lai, Yan Ting
Published: (2021) -
Privacy-preserving blockchain-based federated learning for IoT devices
by: Zhao, Yang, et al.
Published: (2022) -
Decentralized edge intelligence : a dynamic resource allocation framework for hierarchical federated learning
by: Lim, Bryan Wei Yang, et al.
Published: (2022) -
Blockchain-based privacy-preserving federated learning for mobile crowdsourcing
by: Ma, Haiying, et al.
Published: (2023)