Abstract: As Graph Neural Networks (GNNs) increasingly analyse sensitive relational data, protecting the privacy of underlying nodes and edges has become a critical challenge, often characterized by trade-offs between privacy guarantees, model utility, and computational efficiency. In this talk, I will present two independent yet…

Abstract: This presentation examines the critical role of geospatial technologies in addressing complex challenges within local government operations. Geospatial data—information tied to specific locations—underpins essential functions such as resource management, service delivery, and equity analysis. Attendees will gain…