EDGE DATA DISTRIBUTION CLIQUES

Techniques described herein relate to a method for model updating based on maximal cliques. The method may include transmitting, by a model coordinator, a probability distribution request signal to a plurality of edge nodes; receiving, by the model coordinator, a separate feature probability distribution from each of the plurality of edge nodes; executing, by the model coordinator, a maximal clique identification algorithm using the feature probability distributions to obtain a plurality of maximal cliques; selecting, by the model coordinator, a representative edge node from each of the plurality of maximal cliques to obtain a plurality of representative edge nodes; transmitting, by the model coordinator, a feature data request signal to each of the plurality of representative edge nodes; receiving, by the model coordinator, feature data from each of the plurality of representative edge nodes; and performing machine learning (ML) model training using a first portion of the feature data.