Identifying Anomalies in Communication Networks Using Bi-Level Decentralized Machine Learning Model

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A computer program product comprising a non-transitory storage medium including second program code to be executed by processing circuitry of a computing device configured to identify anomalies in a communication network subsequent to deployment of a first computer program comprising first program code, whereby execution of the second program code causes the computing device to perform operations comprising:

• evaluate performance of the communication network with a bi-level decentralized machine learning, ML, model to identify anomalies in the communication network, wherein the bi-level decentralized ML model comprises a temporal graph-based ML model that includes an execution flow of the program code and combines knowledge from a plurality of cells in the communication network that respectively execute the program code;
• and
• based on the evaluation, identify an anomaly in the communication network.

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