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Tsinghua University (20250007788). MULTI-BRANCH NETWORK COLLABORATIVE REASONING METHOD AND SYSTEM FOR INTERNET OF THINGS: Difference between revisions

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==Inventor(s)==
==Inventor(s)==


[[:Category:Yuezhi Zhou of Beijing (CN)|Yuezhi Zhou of Beijing (CN)]][[Category:Yuezhi Zhou of Beijing (CN)]]
[[:Category:Yuezhi Zhou of Beijing CN|Yuezhi Zhou of Beijing CN]][[Category:Yuezhi Zhou of Beijing CN]]


[[:Category:Zhiwei Liang of Beijing (CN)|Zhiwei Liang of Beijing (CN)]][[Category:Zhiwei Liang of Beijing (CN)]]
[[:Category:Zhiwei Liang of Beijing CN|Zhiwei Liang of Beijing CN]][[Category:Zhiwei Liang of Beijing CN]]


==MULTI-BRANCH NETWORK COLLABORATIVE REASONING METHOD AND SYSTEM FOR INTERNET OF THINGS==
==MULTI-BRANCH NETWORK COLLABORATIVE REASONING METHOD AND SYSTEM FOR INTERNET OF THINGS==
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This abstract first appeared for US patent application 20250007788 titled 'MULTI-BRANCH NETWORK COLLABORATIVE REASONING METHOD AND SYSTEM FOR INTERNET OF THINGS
This abstract first appeared for US patent application 20250007788 titled 'MULTI-BRANCH NETWORK COLLABORATIVE REASONING METHOD AND SYSTEM FOR INTERNET OF THINGS


==Original Abstract Submitted==
==Original Abstract Submitted==

Latest revision as of 03:12, 25 March 2025

MULTI-BRANCH NETWORK COLLABORATIVE REASONING METHOD AND SYSTEM FOR INTERNET OF THINGS

Organization Name

Tsinghua University

Inventor(s)

Yuezhi Zhou of Beijing CN

Zhiwei Liang of Beijing CN

MULTI-BRANCH NETWORK COLLABORATIVE REASONING METHOD AND SYSTEM FOR INTERNET OF THINGS

This abstract first appeared for US patent application 20250007788 titled 'MULTI-BRANCH NETWORK COLLABORATIVE REASONING METHOD AND SYSTEM FOR INTERNET OF THINGS

Original Abstract Submitted

a method for cooperative reasoning on a multi-branch network of internet of things (iot) includes: obtaining an initial prediction result and an uncertainty by inputting a sample to be predicted into a first branch of a preset multi-branch network on an iot device; obtaining an output branch corresponding to the sample in a distribution scheme of the preset multi-branch network based on the uncertainty; and obtaining a final prediction result of the sample by using the output branch based on a model division scheme of the preset multi-branch network, the model division scheme comprising an allocation result of layers of each branch of the multi-branch network on the iot device and a corresponding server.

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