FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices-Reference-Cited by-同舟云学术

FedMint: Intelligent Bilateral Client Selection in Federated Learning With Newcomer IoT Devices

Author:

Wehbi Osama¹^ORCID,Arisdakessian Sarhad²,Wahab Omar Abdel²^ORCID,Otrok Hadi³^ORCID,Otoum Safa⁴,Mourad Azzam¹^ORCID,Guizani Mohsen⁵^ORCID

Affiliation:

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

2. Department of Computer and Software Engineering, Polytechnique Montréal, Montreal, Canada

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

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

5. 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

Reference51 articles.

2. Privacy-preserving continuous authentication for mobile and IoT systems using warmup-based federated learning;wazzeh;IEEE Netw,2022

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