• Energy-Efficient Device Assignment and Task Allocation in Multi-Orchestrator Mobile Edge Learning 

      Allahham, Mhd Saria; Sorour, Sameh; Mohamed, Amr; Erbad, Aiman; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Mobile Edge Learning (MEL) is a decentralized learning paradigm that enables resource-constrained IoT devices to either learn a shared model without sharing the data, or to distribute the learning task with the data to ...
    • Incentive-based Resource Allocation for Mobile Edge Learning 

      Allahham, Mhd Saria; Mohamed, Amr; Hassanein, Hossam ( IEEE , 2022 , Conference Paper)
      Mobile Edge Learning (MEL) is a learning paradigm that facilitates training of Machine Learning (ML) models over resource-constrained edge devices. MEL consists of an orchestrator, which represents the model owner of the ...