5 papers
Cooperative Multi-Task Semantic Communication for Joint Classification and Regression Tasks
Ahmad Halimi Razlighi, Mohammad Siddiqur Rahman, Maximilian H. V. Tillmann +2
Multi-Task semantic communication (SemCom) prioritizes simultaneous execution of multiple tasks over bit-accurate reconstruction in future intelligent networks. In our prior work […
Semantic-Aware Task Clustering for Constructive and Cooperative Multi-Tasking
Ahmad Halimi Razlighi, Maximilian H. V. Tillmann, Edgar Beck +2
Cooperative multi-task semantic communication (CMT-SemCom) improves task execution performance by leveraging shared representations. However, as we demonstrated in [1], cooperative…
Semantic Communication for Task Execution and Data Reconstruction in Multi-View Scenarios
Maximilian H. V. Tillmann, Avinash Kankari, Carsten Bockelmann +1
Semantic communication has gained significant attention with the advances in machine learning. Most semantic communication works focus on either task execution or data reconstructi…
Semantic Joint Source Channel Coding for Distributed Subsurface Imaging in Multi-Agent Systems
Maximilian H. V. Tillmann, Ban-Sok Shin, Dmitriy Shutin +1
Multi-agent systems (MASs) are a promising solution for autonomous exploration tasks in hazardous or remote environments. In such settings, communication among agents is essential…
Cooperative and Collaborative Multi-Task Semantic Communication for Distributed Sources
Ahmad Halimi Razlighi, Maximilian H. V. Tillmann, Edgar Beck +2
In this paper, we explore a multi-task semantic communication (SemCom) system for distributed sources, extending the existing focus on collaborative single-task execution. We build…