Asynchronous federated learning with directed acyclic graph-based blockchain in edge computing: Overview, design, and challenges-Reference-Cited by-同舟云学术

Asynchronous federated learning with directed acyclic graph-based blockchain in edge computing: Overview, design, and challenges

Published:2023-08 Issue: Volume:223 Page:119896
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Ko Seoyoung^ORCID,Lee Keewoo^ORCID,Cho Hyunhum^ORCID,Hwang Yoonjae^ORCID,Jang Huisu^ORCID

Funder

Ministry of Education, Science and Technology

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference64 articles.

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5. Chai, Z., Chen, Y., Anwar, A., Zhao, L., Cheng, Y., & Rangwala, H. (2021). FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. In Proceedings of the international conference for high performance computing, networking, storage and analysis (pp. 1–16).

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