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Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning

The notebook instance client starts a SageMaker training job that runs a custom script to trigger the instantiation of the Flower client, which deserializes and reads the server configuration, triggers the training job, and sends the parameters response. script and a utils.py The client.py

Scripts 69
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Contact Center Trends 2021: The CX Watershed

Fonolo

In 2017, more contact centers will recognize the impact of tracking analytics and use those benchmarks for future growth. 2016: 50% of Global 1000 companies will have stored customer-sensitive data in the cloud. Understanding and benchmarking against these metrics is still the best way to maintain high standards of customer service.