OPTIMIZING RTC BANDWIDTH ESTIMATION WITH MACHINE LEARNING

Summary from the TLDR Web Dev newsletter

Meta's video calling products rely on bandwidth estimation (BWE) and congestion control for optimal performance. Its hand-tuned system was complex and difficult to maintain, so its team developed an ML approach for network characterization and optimization, replacing hand-tuned rules to improve efficiency and reliability. The ML system analyzes network signals to classify network types and applies optimized settings for BWE and network resiliency.