Communication-Efficient Federated Learning for Hybrid VLC/RF Indoor Systems-Reference-Cited by-同舟云学术

Communication-Efficient Federated Learning for Hybrid VLC/RF Indoor Systems

Published:2022 Issue: Volume:10 Page:126479-126493
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sheikholeslami Seyed Mohammad¹^ORCID,Rasti-Meymandi Arash¹,Seyed-Mohammadi Seyed Jamal²^ORCID,Abouei Jamshid³^ORCID,Plataniotis Konstantinos N.¹^ORCID

Affiliation:

1. The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada

2. School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran

3. Department of Electrical Engineering, Yazd University, Yazd, Iran

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09927433.pdf?arnumber=9927433

Reference25 articles.

1. Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning

2. HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning

3. Importance-Aware Data Selection and Resource Allocation in Federated Edge Learning System

4. Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control

5. Accelerating DNN Training in Wireless Federated Edge Learning Systems

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