IEEE

Deep Reinforcement Learning-Based Resource Allocation for Integrated Sensing, Communication, and Computation in Vehicular Network

Abstract: In developing the sixth-generation (6G) system, integrated sensing and communication technology is becoming increasingly essential, especially for applications like autonomous driving. This ...
IEEE

Clustered Federated Multi-Task Learning: A Communication-and-Computation Efficient Sparse Sharing Approach

Abstract: Federated multi-task learning (FMTL) is a promising technology to tackle one of the most severe non-independent and identically distributed (non-IID) data challenge in federated learning (FL ...