Research on Privacy and Security of Federated Learning in Intelligent Plant Factory Systems

Wen-Pin Hu ； Chin-Bin Lin ； Jing-Ting Wu ； Cheng-Ying Yang ； Min-Shiang Hwang

《International Journal of Network Security》 25卷2期 (2023/03) Pp. 377-384

https://doi.org/10.6633/IJNS.202303_25(2).20

摘要

Intelligent plant factories must continuously collect sensing data from other factories to update parameters in real time and obtain the best plant growth environment. However, if the collected sensing data is forged or collected, it will affect the performance of machine learning. In this paper, after using the federated learning technology to train the local data in each region, upload the gradient loss and generate blocks in the blockchain. Finally, verify and aggregate it into a complete model trained with all the data instead of directly uploading the local data to ensure privacy and data security.

關鍵字

Deep Learning ； Federated Learning ； Intelligent Plant Factory Systems ； Machine Learning