Intel Corporation (20240333602). DECENTRALIZED ACTIVE-LEARNING MODEL UPDATE AND BROADCAST MECHANISM IN INTERNET-OF-THINGS ENVIRONMENT simplified abstract
DECENTRALIZED ACTIVE-LEARNING MODEL UPDATE AND BROADCAST MECHANISM IN INTERNET-OF-THINGS ENVIRONMENT
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DECENTRALIZED ACTIVE-LEARNING MODEL UPDATE AND BROADCAST MECHANISM IN INTERNET-OF-THINGS ENVIRONMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240333602 titled 'DECENTRALIZED ACTIVE-LEARNING MODEL UPDATE AND BROADCAST MECHANISM IN INTERNET-OF-THINGS ENVIRONMENT
Simplified Explanation: The technology in this patent application identifies and deploys model updates from a group of IoT devices based on the votes received from these devices.
- The technology identifies a model update originating from a plurality of IoT devices.
- It determines votes from the IoT devices to decide whether to deploy the model update.
- The model update is then deployed to the IoT devices based on the received votes.
Key Features and Innovation:
- Utilizes IoT devices to collectively decide on deploying model updates.
- Streamlines the process of updating models across multiple IoT devices.
- Enhances efficiency by automating the deployment decision-making process.
Potential Applications: This technology can be applied in various industries such as:
- Smart home systems
- Industrial IoT networks
- Healthcare monitoring devices
Problems Solved:
- Simplifies the process of updating models on numerous IoT devices.
- Ensures a democratic decision-making process for deploying updates.
- Increases the efficiency of managing IoT device updates.
Benefits:
- Saves time and resources by automating the update deployment process.
- Enhances the security and performance of IoT devices through timely updates.
- Facilitates seamless coordination among a large number of IoT devices.
Commercial Applications: Title: IoT Model Update Deployment Technology This technology can be utilized by:
- IoT device manufacturers
- Smart city infrastructure developers
- Data analytics companies serving IoT networks
Prior Art: Readers can explore prior art related to IoT device management systems and update deployment technologies in the field of Internet of Things.
Frequently Updated Research: Stay informed about the latest advancements in IoT device management systems and update deployment technologies to ensure optimal performance and security.
Questions about IoT Model Update Deployment Technology: 1. How does this technology improve the efficiency of updating models on IoT devices? 2. What are the potential challenges in implementing this technology across a large network of IoT devices?
Original Abstract Submitted
systems, apparatuses and methods include technology that identifies a model update that originates from a plurality of iot devices. the technology determines votes from the plurality of iot devices, where the votes indicate whether the model update will be deployed. the technology deploys the model update to the plurality of iot devices based on the votes.
