Federated learning (FL) has found numerous applications in healthcare,
f...
Spatio-temporal kriging is an important problem in web and social
applic...
While federated learning has shown strong results in optimizing a machin...
Learning the embeddings for urban regions from human mobility data can r...
Recent studies focus on formulating the traffic forecasting as a
spatio-...
Fairness has emerged as a critical problem in federated learning (FL). I...
Traffic violations like illegal parking, illegal turning, and speeding h...