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Kari Hreinsson

2 accepted papers

2021

Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models

AAAI 2021technical

In federated learning, models are learned from users’ data that are held private in their edge devices, by aggregating them in the service provider’s “cloud” to obtain a global model. Such global model is of great commercial value in, e.g., improving the customers’ experience. In this paper we focus…

Cited by 26SourcePDFScholar
2020

Federating Solar, Storage and Communications in the Electric Grid and Internet of things

ICASSP 2020accepted

A futuristic infrastructure model is envisioned with distributed modules that can produce solar energy, have a storage system and provide services of lighting, electric-vehicle charging and communications. A stochastic model is formulated for the solar power production and overall consumption of pow…

Cited by 0SourceScholar