Task-Oriented Semantic Communication
Overview
Task-oriented semantic communication studies how to transmit the parts of a message that matter for a receiver’s goal, such as recognizing an object, answering a video question, or coordinating a robot. Common approaches train task-specific semantic encoders and feature transmitters, use deep joint source-channel coding or token representations, and protect or recover information according to its estimated utility. In dynamic settings, reinforcement learning and value-of-information methods allocate communication resources, while sensing, communication, and control may be designed together for vehicles, robots, or other agents. A central challenge is evaluating meaning consistently across tasks and channels while balancing task accuracy with bandwidth, latency, robustness, safety, and the risk that transmitted representations still reveal sensitive information.
Latest papers
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