Joint Client Selection and CPU Frequency Control in Wireless Federated Learning Networks with Power Constraints

Federated learning (FL) represents a distributed machine learning approach that eliminates the necessity of transmitting privacy-sensitive local training samples. However, within wireless FL networks, resource heterogeneity introduces straggler clients, thereby decelerating the learning process. Add...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Zhaohui, Shi, Shijie, Wang, Fasong, Zhang, Yanbin, Li, Yitong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453361/
https://www.ncbi.nlm.nih.gov/pubmed/37628213
http://dx.doi.org/10.3390/e25081183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453361/
https://www.ncbi.nlm.nih.gov/pubmed/37628213
http://dx.doi.org/10.3390/e25081183

Ejemplares similares