Tag
This paper proposes EN-HMTFL, an encoder-sharing hierarchical multi-task federated learning framework for vehicular ad hoc networks that lets vehicles train heterogeneous perception tasks collaboratively via a shared encoder while keeping task-specific decoders local, improving accuracy by up to 24% and reducing communication rounds by up to 28.8%.