Invention Grant
- Patent Title: Spatio-temporal transfer learning between IoT ecosystems
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Application No.: US16693335Application Date: 2019-11-24
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Publication No.: US11101045B2Publication Date: 2021-08-24
- Inventor: Sandeep Sukhija , Vijay Kumar Ananthapur Bache , Harish Bharti , Vijay Ekambaram
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Monchai Chuaychoo
- Main IPC: G06F15/177
- IPC: G06F15/177 ; G16Y40/10 ; G16Y20/40 ; G06F16/9035

Abstract:
The approach is for cognitively transferring IoT configurations between similar IoT ecosystems based on several factors. The approach scans IoT devices from a first and a second IoT ecosystem and extracts user data from the first and the second IoT ecosystem. The approach compares the first IoT ecosystem against the second IoT ecosystem and determines if the first IoT ecosystem is similar to the second IoT ecosystem. If the first and second IoT ecosystem are similar, then transfer data from the first IoT ecosystem to the second IoT ecosystem.
Public/Granted literature
- US20210157587A1 SPATIO-TEMPORAL TRANSFER LEARNING BETWEEN IOT ECOSYSTEMS Public/Granted day:2021-05-27
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