Federated learning-based approach for heterogeneous task scheduling in edge computing environments

Latifah Alsalem; Karim Djemame

doi:10.1109/ucc63386.2024.00079

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Federated learning-based approach for heterogeneous task scheduling in edge computing environments

Latifah Alsalem Karim Djemame

Year: 2024 Pages: 509-516

DOI: 10.1109/ucc63386.2024.00079

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Keywords:

Computer science Distributed computing Edge computing Scheduling (production processes) Symmetric multiprocessor system Task (project management) Human–computer interaction Computer architecture Enhanced Data Rates for GSM Evolution Artificial intelligence Systems engineering

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IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications

Federated learning-based approach for heterogeneous task scheduling in edge computing environments

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