Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey

Author:

Duan Sijing1ORCID,Wang Dan1ORCID,Ren Ju2ORCID,Lyu Feng1ORCID,Zhang Ye3ORCID,Wu Huaqing4ORCID,Shen Xuemin5ORCID

Affiliation:

1. School of Computer Science and Engineering, Central South University, Changsha, China

2. Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China

3. Computer School, Beijing Information Science and Technology University, Beijing, China

4. Department of Electrical and Software Engineering, University of Calgary, Calgary, Canada

5. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Grant from the Guoqiang Institute, Tsinghua University

Natural Science Foundation of Hunan Province, China

Young Elite Scientist Sponsorship Program by CAST

Young Talents Plan of Hunan Province of China

Higher Education Discipline Innovation Project

Central South University Innovation-Driven Research Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Reference318 articles.

1. Local model poisoning attacks to Byzantine-robust federated learning;fang;Proc 29th USENIX Security Symp (USENIX Security),2020

2. Neurosurgeon

3. DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning

4. Slim-DP: A multi-agent system for communication-efficient distributed deep learning;sun;Proc 17th Int Conf Auton Agents MultiAgent Syst,2018

5. Data Poisoning Attacks Against Federated Learning Systems

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