RingFFL: A Ring-Architecture-Based Fair Federated Learning Framework
In the ring-architecture-based federated learning framework, security and fairness are severely compromised when dishonest clients abort the training process after obtaining useful information. To solve the problem, we propose a <b>Ring-</b> architecture-based <b>F</b>air <...
Main Authors: | Lu Han, Xiaohong Huang, Dandan Li, Yong Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Future Internet |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-5903/15/2/68 |
Similar Items
-
The Current State and Challenges of Fairness in Federated Learning
by: Sean Vucinich, et al.
Published: (2023-01-01) -
Adaptive Tip Selection for DAG-Shard-Based Federated Learning with High Concurrency and Fairness
by: Ruiqi Xiao, et al.
Published: (2024-12-01) -
Accelerating Fair Federated Learning: Adaptive Federated Adam
by: Li Ju, et al.
Published: (2024-01-01) -
A Framework to Design Efficent Blockchain-Based Decentralized Federated Learning Architectures
by: Yannis Formery, et al.
Published: (2024-01-01) -
A survey on the fairness of federated learning
by: Zhitao ZHU, et al.
Published: (2024-01-01)