On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme-Reference-Cited by-同舟云学术

On-Demand-FL: A Dynamic and Efficient Multicriteria Federated Learning Client Deployment Scheme

Author:

Chahoud Mario¹,Sami Hani²^ORCID,Mourad Azzam¹^ORCID,Otoum Safa³,Otrok Hadi⁴^ORCID,Bentahar Jamal²^ORCID,Guizani Mohsen⁵^ORCID

Affiliation:

1. Department of CSM, Cyber Security Systems and Applied AI Research Center, Lebanese American University, Beirut, Lebanon

2. Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada

3. College of Technological Innovation, Zayed University, Dubai, UAE

4. Department of Electrical Engineering and Computer Science, Center of Cyber-Physical Systems, Khalifa University, Abu Dhabi, UAE

5. Machine Learning, Mohammad Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference46 articles.

3. Towards federated learning at scale: System design;bonawitz;Proc SysML,2019

4. Collaborative federated learning for healthcare: Multi-modal COVID-19 diagnosis at the edge;qayyum;arXiv 2101 07511,2021

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