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YouTube

On-Device Training Under 256KB Memory

Federated Learning One World Seminar via YouTube

Overview

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Watch a 59-minute seminar from the Federated Learning One World series featuring MIT's Song Han as he explores the challenges and solutions for on-device training with extremely limited memory constraints of 256KB. Learn about innovative approaches to machine learning deployment on resource-constrained devices, drawing from Han's expertise in efficient AI systems and tiny machine learning. Discover practical techniques for implementing neural network training in environments where memory is at a premium, making AI accessible on edge devices and microcontrollers.

Syllabus

FLOW Seminar #108: Song Han (MIT) On-Device Training under 256KB of Memory

Taught by

Federated Learning One World Seminar

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