Incentive edge-based federated learning for false data injection attack detection on power grid state estimation: A novel mechanism design approach

An Efficient Privacy-Enhancing Cross-Silo Federated Learning and Applications for False Data Injection Attack Detection in Smart Grids

“…The power grid scenario of false data injection attack detection based on federated learning in smart grids has been studied in [30], [31], [32]. The investigated power grid scenario is similar in these papers and in the proposed scheme.…”

“…The investigated power grid scenario is similar in these papers and in the proposed scheme. For example, in [30] an independent power system state owner (PSSO) and a detection service provider (DSP) correspond to an independent transmission grid company (TGC) and a system operator (SO) in the proposed scheme. The power grid scenario fits with the investigated crosssilo federated learning setting (e.g., the number of parties (PSSOs/TGCs) is small and each party is facilitated with high-performance computing).…”

Wind turbine blade icing detection: a federated learning approach

“…In the energy section, Wang et al [21] proposed a federated learning approach for the identification of household profiles. Lin et al [22] proposed a novel edge-based federated learning framework for FDI attack detection in power grid state estimation, which shows great potential in real-world applications with unknown system parameters. Su et al [23] proposed a secure and efficient federated-learning-enabled AIoT scheme for private energy data sharing in smart grids with edgecloud collaboration.…”

How do online learning environment stimulations affect learning involvement determinants in the setting of COVID-19?

“…The S-O-R model is a framework, according to Hew et al (2018), is a good match for the context of continuous examination usage patterns when discussing learners' participation in online courses or SNSs. As a outcomes of the worldwide COVID-19 epidemic, many measures introduced have started to shift from offline business to online business campuses, and learners have been forced to adopt media technology for educational as a outcomes of the fluctuation in the educational process (Vendrell-Herrero et al, 2021;Lin et al, 2022). As a result of changes occurring, kids may acquire a variety of acquisition and engagement behaviors, necessitating the use of the S-O-R methodology to further investigate the progression about their whole education process.…”

“…Whenever it come to modeling process, experts create a variety of S-O-R simulations based on the real circumstances, allowing for further precise S-O-R modeling process. ( Lin et al, 2022) for example, used the S-O-R review will look at how students' privacy and security drive their experience and understanding views, which has an impact on their virtual cooperation. In their investigation, they found some great consistency, applicability, and prototype matches, such as 2 (CMIN/df) = 2.56, p 0.001, systematized root -means -squares residue (SRMR) = 0.07, IFI = 0.92, CFI = 0.93, TLI = 0.92, and etc.…”