Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
Mobile edge computing (MEC) has been considered as a promising technology to provide seamless integration of multiple application services. Federated learning (FL) is carried out at edge clients in MEC for privacy-preserving training of data processing models. Despite that the edge clients with smal...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.22/18259 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/18259 |