Joseph Gonzalez

Joseph Gonzalez is an assistant professor in the EECS department at UC Berkeley and a founding member of the new UC Berkeley RISE Lab. His research interests are at the intersection of machine learning and data systems and explore the challenges of distributed machine learning and inference on large models and datasets, real-time model serving and personalization, and applying machine learning techniques to system tuning and management. Joseph is also a co-founder of Turi Inc. (formerly GraphLab), which was based on his thesis work. Turi was recently acquired by Apple.
http://eecs.berkeley.edu/~jegonzal

Publications

Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions

Ray RLlib: A Composable and Scalable Reinforcement Learning Library

Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling

Selecting the Best VM across Multiple Public Clouds: A Data-Driven Performance Modeling Approach

Ground: A Data Context Service

Opaque: An Oblivious and Encrypted Distributed Analytics Platform.

Random Projection Design for Scalable Implicit Smoothing of Randomly Observed Stochastic Processes

Clipper: A Low-Latency Online Prediction Serving System

Blog Posts

Wenting Zheng is Awarded the 2017-18 IBM PhD Fellowship

Joseph Gonzalez Crypto, News, Security

Wenting Zheng was awarded the prestigious IBM PhD Fellowship for her work on  security and distributed systems. Wenting is actively studying new methods for scalable secure analytics, multi-party computation for machine learning, and distributed zero knowledge proofs.  The IBM Ph.D. fellowship is an “intensely competitive worldwide program that honors exceptional Ph.D. students who have an interest in solving problems that are important to IBM and fundamental to innovation in many academic disciplines and areas of study.” Only 50 fellowships are awarded worldwide annually.

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