Abstract: Federated Learning (FL) trains models on distributed devices by aggregating model updates or parameters from multiple clients, enhancing data privacy by keeping data local. However, FL still ...
Most organizations operate under a dangerous misconception that their data is safe with encryption at rest and in transit.
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