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.


sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data

Boundary thickness and robustness in learning models

Robust Class Parallelism – Error Resilient Parallel Inference with Low Communication Cost

sensAI: Fast ConvNets Serving on Live Data via Class Parallelism

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video

Scaling Video Analytics to Large Camera Deployments

Helen: Maliciously Secure Coopetitive Learning for Linear Models

Serverless Computing: One Step Forward, Two Steps Back

The Case for GPU Multitenancy: The OoO VLIW JIT Compiler for GPU Inference

Using Multitask Learning to Improve 12-Lead Electrocardiogram Classification

Dynamic Space-Time Scheduling for GPU Inference

SkipNet: Learning Dynamic Routing in Convolutional Networks

Context: The Missing Piece in the Machine Learning Lifecycle

IDK Cascades: Fast Deep Learning by Learning not to Overthink

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

RLlib: Abstractions for Distributed Reinforcement Learning

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

Opaque: An Oblivious and Encrypted Distributed Analytics Platform.

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

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.