EfficientML.ai Lecture 21 - On-device Training (MIT 6.5940, Fall 2024)

  Рет қаралды 512

MIT HAN Lab

MIT HAN Lab

Күн бұрын

EfficientML.ai Lecture 21 - On-device Training and Transfer Learning (MIT 6.5940, Fall 2024)
Lecture 21: On-device Training and Transfer Learning
Instructor: Prof. Song Han
Slides: efficientml.ai
Outline:
Deep leakage from gradients, gradient is not safe to share
Memory bottleneck of on-device training
Tiny transfer learning (TinyTL)
Sparse back-propagation (SparseBP)
Quantized training with quantization aware scaling (QAS)
PockEngine: system support for sparse back-propagation

Пікірлер
Try this prank with your friends 😂 @karina-kola
00:18
Andrey Grechka
Рет қаралды 9 МЛН
Quilt Challenge, No Skills, Just Luck#Funnyfamily #Partygames #Funny
00:32
Family Games Media
Рет қаралды 55 МЛН
Crafting Qubits: Harnessing Quantum Mechanics for Computation
41:16
World Science Festival
Рет қаралды 64 М.
François Chollet on OpenAI o-models and ARC
1:21:50
Machine Learning Street Talk
Рет қаралды 76 М.
AI Is Making You An Illiterate Programmer
27:22
ThePrimeTime
Рет қаралды 289 М.
10. Introduction to Learning, Nearest Neighbors
49:56
MIT OpenCourseWare
Рет қаралды 267 М.
Try this prank with your friends 😂 @karina-kola
00:18
Andrey Grechka
Рет қаралды 9 МЛН