Dynamic Cohort Formation with Hierarchical Blockchain Using GDP for Enhanced FL
Federated Learning (FL) can be defined as an effective solution for using the benefits of machine learning (ML) in distributed systems, in which the data of the clients remain protected. However overlaid challenges affecting today’s FL systems are centered on time optimization, scalability, and secu...
Saved in:
| Main Authors: | Sunila Fatima Ahmad, Zahra Abbas, Madiha Haider Syed, Adeel Anjum, Semeen Rehman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Computers |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-431X/13/12/317 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy
by: Muhammad Adnan, et al.
Published: (2025-01-01) -
BPS-FL: Blockchain-Based Privacy-Preserving and Secure Federated Learning
by: Jianping Yu, et al.
Published: (2025-02-01) -
Securing guarantee of the blockchain network:attacks and countermeasures
by: Peipei JIANG, et al.
Published: (2021-01-01) -
Research progress of access control based on blockchain
by: Zhensheng GAO, et al.
Published: (2021-12-01) -
Exploring Deep Federated Learning for the Internet of Things: A GDPR-Compliant Architecture
by: Zahra Abbas, et al.
Published: (2024-01-01)