3 papers
cs.DC2026
CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing
Nan Yang, Bahman Javadi, Rodrigo Neves Calheiros +2
Low Earth Orbit (LEO) mega-constellations extend the cloud-to-edge continuum into space, enabling satellite edge computing. However, Federated Learning (FL) in this environment is…
eess.SP2025
Operational machine learning for park-scale irrigation to support urban cooling
Mesut KoçyiÄit, Bahman Javadi, Russell Thomson +2
Urban parks can mitigate local heat, yet irrigation control is usually tuned for water savings rather than cooling. We report on SIMPaCT (Smart Irrigation Management for Parks and…
cs.LG2024
Data Optimisation of Machine Learning Models for Smart Irrigation in Urban Parks
Nasser Ghadiri, Bahman Javadi, Oliver Obst +1
Urban environments face significant challenges due to climate change, including extreme heat, drought, and water scarcity, which impact public health, community well-being, and loc…