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This invention describes a way to set up a local, decentralized network among devices, often called a fog network. It works by analyzing a user's daily habits and location data to figure out predictable patterns and triggers, which are then shared among nearby devices to enable coordination without a central hub. The claims specifically focus on identifying triggers that predict future events with a certain reliability, based on how much demand there is for device resources like time or frequency.
Why it matters: Since 2021, the capabilities of on-device machine learning for pattern recognition and predictive analytics have significantly improved. This makes the complex analysis of user routine data and the determination of resource demand for predictive triggers, as described in the claims, much more feasible and efficient to perform locally within a decentralized network.
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