On the feasibility of Federated Learning towards on-demand client deployment at the edge

Mario Chahoud; Safa Otoum; Azzam Mourad

doi:10.1016/j.ipm.2022.103150

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On the feasibility of Federated Learning towards on-demand client deployment at the edge

Mario Chahoud Safa Otoum Azzam Mourad

Year: 2022 Journal: Information Processing & Management Vol: 60 (1)Pages: 103150-103150 Publisher: Elsevier BV

DOI: 10.1016/j.ipm.2022.103150

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Keywords:

Software deployment Computer science Enhanced Data Rates for GSM Evolution On demand World Wide Web Multimedia Artificial intelligence Software engineering

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Privacy-Preserving Technologies in Data

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On the feasibility of Federated Learning towards on-demand client deployment at the edge

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