FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing - researchr publication authors

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Paul Agbaje, Afia Anjum, Zahidur Talukder, Mohammad A. Islam 0001, Ebelechukwu Nwafor, Habeeb Olufowobi. FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing. In Claudio A. Ardagna, Feras M. Awaysheh, Hongyi Bian, Carl K. Chang, Rong N. Chang, Flávia Coimbra Delicato, Nirmit Desai, Jing Fan, Geoffrey C. Fox, Andrzej Goscinski, Zhi Jin, Anna Kobusinska, Omer F. Rana, editors, IEEE International Conference on Edge Computing and Communications, EDGE 2023, Chicago, IL, USA, July 2-8, 2023. pages 215-220, IEEE, 2023. [doi]

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