FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing

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]

@inproceedings{AgbajeATINO23,
  title = {FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing},
  author = {Paul Agbaje and Afia Anjum and Zahidur Talukder and Mohammad A. Islam 0001 and Ebelechukwu Nwafor and Habeeb Olufowobi},
  year = {2023},
  doi = {10.1109/EDGE60047.2023.00042},
  url = {https://doi.org/10.1109/EDGE60047.2023.00042},
  researchr = {https://researchr.org/publication/AgbajeATINO23},
  cites = {0},
  citedby = {0},
  pages = {215-220},
  booktitle = {IEEE International Conference on Edge Computing and Communications, EDGE 2023, Chicago, IL, USA, July 2-8, 2023},
  editor = {Claudio A. Ardagna and Feras M. Awaysheh and Hongyi Bian and Carl K. Chang and Rong N. Chang and Flávia Coimbra Delicato and Nirmit Desai and Jing Fan and Geoffrey C. Fox and Andrzej Goscinski and Zhi Jin and Anna Kobusinska and Omer F. Rana},
  publisher = {IEEE},
  isbn = {979-8-3503-0483-1},
}