Ventana Medical Systems, Inc.

Nidhin Murari

Jim F Martin

Joachim Schmid

Fahime Sheikhzadeh

Anirudh Som

Faranak Aghaei

A method for using a federated learning classifier in digital pathology includes distributing, by a centralized server, a global model to a plurality of client devices. The client devices further train the global model using a plurality images of a specimen and corresponding annotations to generate at least one further trained model. The client devices provide further trained models to the centralized server, which aggregates the further trained models with the global model to generate an updated global model. The updated global model is then distributed to the plurality of client devices.

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Tucson, AZ, United States of America

Nidhin Murari