DACFL: Dynamic Average Consensus-Based Federated Learning in Decentralized Sensors Network

Federated Learning (FL) is a privacy-preserving way to utilize the sensitive data generated by smart sensors of user devices, where a central parameter server (PS) coordinates multiple user devices to train a global model. However, relying on centralized topology poses challenges when applying FL in...

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Detalles Bibliográficos
Autores principales: Chen, Zhikun, Li, Daofeng, Zhu, Jinkang, Zhang, Sihai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100108/
https://www.ncbi.nlm.nih.gov/pubmed/35591008
http://dx.doi.org/10.3390/s22093317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100108/
https://www.ncbi.nlm.nih.gov/pubmed/35591008
http://dx.doi.org/10.3390/s22093317

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