Independent and Identically Distributed (IID) Data Assessment in Federated Learning-Reference-Cited by-同舟云学术

Independent and Identically Distributed (IID) Data Assessment in Federated Learning

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Arafeh Mohamad¹,Hammoud Ahmad²,Otrok Hadi³,Mourad Azzam⁴,Talhi Chamseddine¹,Dziong Zbigniew²

Affiliation:

1. Ecole de Technologie Superieure (ETS),Department of Software Engineering,Montreal,QC,Canada

2. Ecole de Technologie Superieure (ETS),Department of Electrical Engineering,Montreal,Canada

3. Center of Cyber-Physical Systems (C2PS), Khalifa University,Department of EECS,Abu Dhabi,UAE

4. Lebanese American University,Department of Computer science and Mathematics,Beirut,Lebanon

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001718.pdf?arnumber=10001718

Reference26 articles.

1. Federated Learning-based Active Authentication on Mobile Devices

2. Communication-Efficient Learning of Deep Networks from Decentralized Data;mcmahan;Proceedings of the 20th International Conference on Artificial Intelligence and Statistics volume 54 of Proceedings of Machine Learning Research,0

3. Internet of Things Intrusion Detection: Centralized, On-Device, or Federated Learning?

4. Collaborative federated learning for health-care: Multi-modal covid-19 diagnosis at the edge;qayyum;ArXiv Preprint,2021

5. Federated learning: Strategies for improving communication efficiency;kone?ny;ArXiv Preprint,2016

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