2 papers
eess.SY2024
Adaptive Regulated Sparsity Promoting Approach for Data-Driven Modeling and Control of Grid-Connected Solar Photovoltaic Generation
Zhongtian Zhang, Javad Khazaei, Rick S. Blum
This paper aims to introduce a new statistical learning technique based on sparsity promoting for data-driven modeling and control of solar photovoltaic (PV) systems. Compared with…
cs.LG2022
Communication-Efficient {Federated} Learning Using Censored Heavy Ball Descent
Yicheng Chen, Rick S. Blum, Brian M. Sadler
Distributed machine learning enables scalability and computational offloading, but requires significant levels of communication. Consequently, communication efficiency in distribut…