Overcoming intergovernmental data sharing challenges with federated learning
Kilian Sprenkamp,
Joaquín Delgado Fernández,
Sven Eckhardt
et al.
Abstract:Intergovernmental collaboration is needed to address global problems. Modern solutions to these problems often include data-driven methods like artificial intelligence (AI), which require large amounts of data to perform well. As AI emerges as a central catalyst in deriving effective solutions for global problems, the infrastructure that supports its data needs becomes crucial. However, data sharing between governments is often constrained due to socio-technical barriers such as concerns over data privacy, dat… Show more
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