Baturalp Buyukates‘ research interests are in the areas of machine learning, distributed systems, communications, networks, and information theory. His current research focus is on secure, trustworthy, and verifiable federated learning, privacy-preserving machine learning, responsible data economics and valuation for machine learning and analytics, blockchain systems, and timely information exchange in distributed systems. In his research, Baturalp Buyukates utilizes tools and techniques from optimization, machine learning, statistics, applied cryptography, and information and coding theories.
He works closely with Salman Avestimehr.