Multi-mechanism collaborative learning system and method based on hierarchical parameter server
A learning system and learning method technology, applied in the field of multi-institution collaborative learning system based on layered parameter server, can solve the problems of big data islands, high maintenance costs, low resource utilization, etc.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0081] In the cross-domain multi-center scenario, due to the characteristics of high bandwidth and low latency, homogeneous computing and communication resources, security and reliability within the domain, and the characteristics of low bandwidth and high latency, heterogeneous computing and communication resources, and insecurity and reliability between domains , Isolating intra-domain and inter-domain can maximize intra-domain resource utilization, minimize inter-domain communication pressure, and provide flexibility for organizations to choose a suitable communication topology according to their own computing cluster environment. The present invention proposes a multi-party collaborative learning framework HiPS based on a layered parameter server, and isolates intra-domain and inter-domain data interactions through the layered parameter server. The intra-domain fused model update is sent to the central organization by the intra-domain parameter server, and the global model ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com