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IBM Federated Learning
IBM Federated Learning

IBM Federated Learning

Federated Learning provides the tools for multiple remote parties to collaboratively train a single machine learning model without sharing data. Each party trains a local model with a private data set. Only the local model is sent to the aggregator to improve the quality of the global model that benefits all parties.

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Parent topic: Analyzing data and building models