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Thursday, October 1 • 9:00am - 9:30am
State Management in Distributed Online Learning with Ray - Edmon Begoli, Oak Ridge National Laboratory

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Distributed online learning systems are a machine learning systems that learn in a real-time, over a continuously arriving data and in a distributed manner. The challenges of distributed online learning are many, and all are non trivial. In this talk, we'll focus on the challenge of consistent and scalable maintenance of the state of learning in a fully distributed manner, with a special emphasis on how we used Ray actors to facilitate propagation of learning parameters, conflict resolution, and transactional consistency of updates. We will discuss our technical approaches and challenges in the context of our work on real-time suicide prevention predictive algorithms, fraud detection, and infectious disease surveillance.

avatar for Edmon Begoli

Edmon Begoli

Director - Scalable Protected Data Facilities (SPDF), National Center for Computational Sciences (NCCS), Oak Ridge National Laboratory
Edmon Begoli, PhD is a director of ORNL's organization for research on protected data (SPDF), where he is responsible for research and design of large-scale systems for resilient and reliable computing on protected data. He also serves as the Principal Investigator (PI) for the joint... Read More →

Thursday October 1, 2020 9:00am - 9:30am PDT
Virtual 3