Locality-aware compressor-decompressor for keeping prediction models up-to-date in resource constrained networks

A method for generating predictions using data from data zones, comprising:

• obtaining a local model set from a data zone of the data zones indicating that a global model set using to generate the predictions is unacceptable;
• making a determination that the local model set is acceptable;
• in response to the determination:
• distributing the local model set to at least one second data zone of the data zones;
• obtaining compressed telemetry data, that was compressed using the local model set, from the data zone and the at least one second data zone;
• and
• generating a global prediction regarding a future operating condition of the data zones using:
• the compressed local telemetry data, and
• the local model set.

A non-transitory computer readable medium comprising computer readable program code, which when executed by a computer processor enables the computer processor to perform a method for generating predictions using data from data zones, the method comprising:

• obtaining a local model set from a data zone of the data zones indicating that a global model set using to generate the predictions is unacceptable;
• making a determination that the local model set is acceptable;
• in response to the determination:
• distributing the local model set to at least one second data zone of the data zones;
• obtaining compressed telemetry data, that was compressed using the local model set, from the data zone and the at least one second data zone;
• and
• generating a global prediction regarding a future operating condition of the data zones using:
• the compressed local telemetry data, and
• the local model set.