Optimizing ML Workload Network Efficiency (Part I): Feature Trimmer

Pinterest engineers built Feature Trimmer to reduce network traffic in ML serving. The tool removes unused features from inference requests, cutting data transfer size and latency. This improves efficiency in Pinterest's root-leaf ML architecture without changing model logic.