Mohamed bin Zayed University of Artificial Intelligence and Petuum, Inc.

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Qirong Ho is an Assistant Professor at the Mohamed bin Zayed University of Artificial Intelligence, and also the CTO and Co-Founder of Petuum, Inc., a World Economic Forum Tech Pioneers Startup. Ho’s primary area of research interest is in software systems for the scale-up of ML programs. These ML software systems must enable, automate, and optimize over multiple tasks: composition of elementary ML program and systems “building blocks” to create sophisticated applications, scaling to very large data and model sizes, resource allocation and scheduling, hyperparameter tuning, and code-to-hardware placement.

Carnegie Mellon University

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Hongyi Wang is a Senior Researcher at the Machine Learning Department at Carnegie Mellon University. Dr. Wang's research interests focus on the scalability and efficiency of distributed and federated learning systems. He also studies how to automatically deploy distributed machine learning algorithms over heterogeneous hardware platforms and trustworthy distributed and federated learning.

Mohamed bin Zayed University of Artificial Intelligence

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Samuel Horvath is an Assistant Professor of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). In his research, Horvath focuses on providing a fundamental understanding of how distributed and federated training algorithms work and how they interact with different sources of heterogeneity, such as system-level variability in the computing infrastructure and statistical variability in the training data. He is broadly interested in federated learning, distributed optimization, and efficient deep learning.