Adaptive Streaming

Adaptive streaming optimizes the delivery of data streams, such as video or sensor readings, by dynamically adjusting parameters like resolution or bitrate based on available resources and network conditions. Current research focuses on improving efficiency and robustness through techniques like reinforcement learning, which enables intelligent resource allocation and scheduling across multiple sources, and novel algorithms for handling adversarial conditions or efficiently representing complex data like 3D scenes. These advancements are crucial for enhancing user experience in applications ranging from video streaming to real-time analytics, particularly in scenarios with limited bandwidth or computational power.