Year: 2025
Type: conference-paper
Abstract: With the acceleration of agricultural digitization process, the security sharing of agricultural data has become a key issue to be solved urgently. This paper focuses on this, introduces the related technologies such as blockchain, federated learning and interplanetary file system, and proposes the design of agricultural data sharing model based on federated learning. The work flow of this scheme is described in detail and evaluated by experiment. The security analysis shows that the scheme can effectively resist various security threats and protect the privacy of agricultural data. The accuracy analysis shows that the training accuracy of the model is almost unaffected while the safety is improved. Homomorphic encryption analysis verifies the effectiveness of the encryption technology in the scheme. This scheme provides a feasible and efficient solution for data security sharing of agricultural intelligent knowledge service platform, and is expected to play an important role in related fields.
Authors: Jiamin Zheng, Shijia Peng, Yipeng Zhou, Shaoyi Song, Xuan Zhao
Institution: Beijing Technology and Business University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4411016090