Integration of Federated Learning for Privacy-Preserving Ad Targeting
The Ad Tech Blog
MAY 4, 2024
Understanding Federated Learning in Ad Tech Key Points Federated learning allows multiple devices to contribute to machine learning models without sharing the data itself, enhancing privacy. This method is particularly relevant as privacy regulations tighten and traditional data aggregation becomes more challenging. It involves a decentralized approach where updates to the model are aggregated without transferring raw data from the devices.
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