Graph Federated Learning for CIoT Devices in Smart Home Applications

Author:

Rasti-Meymandi Arash1ORCID,Sheikholeslami Seyed Mohammad1ORCID,Abouei Jamshid2ORCID,Plataniotis Konstantinos N.1ORCID

Affiliation:

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

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

Funder

Natural Sciences and Engineering Research Council (NSERC) of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference52 articles.

1. Adaptive personalized federated learning;deng;arXiv 2003 13461,2020

2. On the convergence of FedAvg on non-iid data;li;arXiv 1907 02189,2019

3. Think locally, act globally: Federated learning with local and global representations;liang;arXiv 2001 01523,2020

4. Three approaches for personalization with applications to federated learning;mansour;arXiv 2002 10619,2020

5. Sparse Communication for Distributed Gradient Descent

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