Cross-customer weighted federated domain adaptation for event detection in warehouses

Abstract

One example method includes registering, by a customer, with a service provider, receiving, by the customer from the service provider, a global machine learning model, running, by the customer, the global machine learning model as a local machine learning model, collecting, by the customer, unlabeled data generated by edge devices operating in a customer domain, checking, by the customer, to determine if the customer domain has changed, and when it is determined that the customer domain has changed, performing, by the customer, a model adaptation process on the local machine learning model, and transmitting to the service provider, by the customer, gradients that comprise customer implemented changes to the local machine learning model.