Decentralized federated learning
Conventional implementations of federated learning require a centralized entity to conduct and coordinate the training with a star communication architecture. However, this technique is prone to a single point of failure, e.g., when the central node is malicious. In this study, we explore decen...
Main Author: | Hitesh, Agarwal |
---|---|
Other Authors: | Dusit Niyato |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156589 |
Similar Items
-
BlockFL: blockchain-enabled decentralized federated learning and model trading
by: Pham, Tan Anh Khoa
Published: (2022) -
Decentralized edge intelligence : a dynamic resource allocation framework for hierarchical federated learning
by: Lim, Bryan Wei Yang, et al.
Published: (2022) -
Decentralized machine learning for secure data sharing
by: Lim, Jian Cheng
Published: (2020) -
Cost of federated learning
by: Tan, Cheen Hao
Published: (2022) -
Federated learning study
by: Chan, Aloysius Zhen Wu
Published: (2021)