Cargando…
A Secrecy Transmission Protocol with Energy Harvesting for Federated Learning
In federated learning (FL), model parameters of deep learning are communicated between clients and the central server. To better train deep learning models, the spectrum resource and transmission security need to be guaranteed. Toward this end, we propose a secrecy transmission protocol based on ene...
Autores principales: | Xie, Ping, Li, Fan, You, Ilsun, Xing, Ling, Wu, Honghai, Ma, Huahong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371431/ https://www.ncbi.nlm.nih.gov/pubmed/35898011 http://dx.doi.org/10.3390/s22155506 |
Ejemplares similares
-
Cooperative Jammer Selection for Secrecy Improvement in Cognitive Internet of Things
por: Xie, Ping, et al.
Publicado: (2018) -
Secrecy Performance Maximization for Underlay CR Networks with an Energy Harvesting Jammer
por: Sun, Juan, et al.
Publicado: (2021) -
An Energy-Efficient Routing Protocol for Reliable Data Transmission in Wireless Body Area Networks
por: Qu, Yating, et al.
Publicado: (2019) -
Residual Energy Analysis in Cognitive Radios with Energy Harvesting UAV under Reliability and Secrecy Constraints
por: Khalid, Waqas, et al.
Publicado: (2020) -
Secrecy Performance Analysis of Wireless Powered Sensor Networks Under Saturation Nonlinear Energy Harvesting and Activation Threshold
por: Shang, Xiaohui, et al.
Publicado: (2020)