Venkatesh Saligrama

A machine learning researcher who studies how models can train and predict under practical constraints such as limited computation, sparse labels, and distributed devices. His methods span federated learning, zero-shot and few-shot recognition, and bias mitigation, and he advises doctoral students working on these problems.