Latency Constraint

Latency constraint research focuses on optimizing systems to meet stringent time limitations in various applications, primarily aiming to minimize delay while maintaining performance. Current efforts involve adapting neural network architectures (like MIMO networks) and employing techniques such as model pruning and resource allocation to reduce computational burden and improve efficiency in diverse contexts, including federated learning, speech recognition, and robotics. This research is crucial for advancing real-time applications requiring immediate responses, impacting fields ranging from edge computing and autonomous systems to machine translation and video processing.