Enhancing Cyber-Resiliency of DER-based SmartGrid: A Survey

no code implementations • 9 May 2023 • Mengxiang Liu, Fei Teng, Zhenyong Zhang, Pudong Ge, Ruilong Deng, Mingyang Sun, Peng Cheng, Jiming Chen

The overall aim of this survey is to demonstrate the development trend of CRE methods and motivate further efforts to improve the cyber-resiliency of DER-based smart grid.

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data

no code implementations • 17 Nov 2022 • Ming Yang, Yanhan Wang, Xin Wang, Zhenyong Zhang, Xiaoming Wu, Peng Cheng

Federated learning is a distributed learning that allows each client to keep the original data locally and only upload the parameters of the local model to the server.

Contrastive Learning Federated Learning