GitHub / Jithsaavvy / Serving-federated-trained-models-using-tensorflow-serving-and-docker

This 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

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PURL: pkg:github/Jithsaavvy/Serving-federated-trained-models-using-tensorflow-serving-and-docker

Topics: deployment, docker, federated-learning, mlops, python3, tensorflow, tensorflow-serving

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