Does federated learning guarantee that private data stays private?
No. Federated learning keeps raw records at participating sites during training, but model updates and outputs can still reveal information. Privacy protections and threat testing are needed.
Answered in
NIST’s Federated-Learning Testbed Puts Privacy Claims on a Measurable TrackNIST compares federated learning and differential privacy on soybean genomic data, while showing that local records do not guarantee privacy.
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