1. Home
2. Premium
3. IEEE ICASSP 2020 Virtual Conference May 2020
4. Low-Rank Gradient Approximation For Memory-Efficient On-Device Training Of Deep Neural Network

Low-Rank Gradient Approximation For Memory-Efficient On-Device Training Of Deep Neural Network

Collection:

IEEE ICASSP 2020 Virtual Conference May 2020

Training machine learning models on mobile devices has the potential of improving both privacy and accuracy of the models. However, one of the major obstacles to achieving this goal is the memory limitation of mobile devices. Reducing training memory enab

• IEEE MemberUS $11.00
• Society MemberUS $0.00
• IEEE Student MemberUS $11.00
• Non-IEEE MemberUS $15.00

Purchase

Videos in this product

Low-Rank Gradient Approximation For Memory-Efficient On-Device Training Of Deep Neural Network

00:12:20

0 views

Training machine learning models on mobile devices has the potential of improving both privacy and accuracy of the models. However, one of the major obstacles to achieving this goal is the memory limitation of mobile devices. Reducing training memory enab