A system for regulated distributed deep learning in cloud and smart mobile devices /
Title
A system for regulated distributed deep learning in cloud and smart mobile devices /
Subject
Computer Science
Description
Patent Number: 202121025112, Applicant: Supriya Prashant Diwan.
The system in the present invention keeps the private data locally in smartphones, shares trained parameters and builds a global consensus model. The feasibility and usability of the proposed system are evaluated by three experiments and related discussion. The experimental results show that the distributed deep learning system can reconstruct the behavior of centralized training. We also measure the cumulative network traffic in different scenarios and show that the partial parameter sharing strategy does not only preserve the performance of the trained model but also can reduce network traffic.
The system in the present invention keeps the private data locally in smartphones, shares trained parameters and builds a global consensus model. The feasibility and usability of the proposed system are evaluated by three experiments and related discussion. The experimental results show that the distributed deep learning system can reconstruct the behavior of centralized training. We also measure the cumulative network traffic in different scenarios and show that the partial parameter sharing strategy does not only preserve the performance of the trained model but also can reduce network traffic.
Creator
R, Ganesh Kumar.
Publisher
Intellectual Property India
Date
2021
Language
English
Type
Patent
Collection
Citation
R, Ganesh Kumar., “A system for regulated distributed deep learning in cloud and smart mobile devices /,” CHRIST (Deemed To Be University) Institutional Repository, accessed September 20, 2024, https://archives.christuniversity.in/items/show/2474.