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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |