Machine Learning Systems for Highly Distributed and Rapidly Growing Data

The usability and practicality of machine learning are largely influenced by two critical factors: low latency and low cost. However, achieving low latency and low cost is very challenging when machine learning depends on realworld data that are rapidly growing and highly distributed training a face recognition model using pictures stored across many data centers globally). In this talk, I will present my work on building lowlatency and lowcost machine learning systems that enable efficient proc