Researchers at the Massachusetts Institute of Technology (MIT) are building a faster and more accurate machine learning system that preserves privacy. Training machine learning requires vast amounts of personal data, which can be a challenge from a privacy perspective. The new federated learning system employs a collaborative process involving hundreds or thousands of contributors (such as healthcare providers) on their own systems, which ensures personal data remains private. The contributors then transfer their models to a central server.
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