Serving-federated-trained-models-using-tensorflow-serving-and-docker
PublicThis project is an amalgamation of research (federated training and comparison with normal training), development (data preprocessing, model training etc.) and deployment (model serving). It creates a pipeline that trains models using federated learning and deploys them using tensorflow serving and docker