We propose a new training framework GCBF+ that uses graph neural networks to parameterize a candidate GCBF and a distributed control policy. The proposed framework is distributed and is capable of ...

Exploring the intrinsic value of social data has long been a focal point for researchers. Presently, diverse social network data is dispersed across various platforms. While federated learning enables ...