S19-325 Overcoming data variability challenges to federated deep learning for medical image analysis Stanford researchers at the Rubin Lab have developed a software system to optimize federated or distributed deep learning methods to overcome current challenges of processing heterogeneous data across institutions such as hospitals. Niranjan Balachandar Daniel Rubin Liangqiong Qu