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Integration of Federated Learning for Privacy-Preserving Ad Targeting

The Ad Tech Blog

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. Federated learning thus represents a shift towards more sustainable and privacy-conscious advertising strategies.

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Google Privacy Sandbox: What Does It Mean for the Future of Targeted Ads?

Single Grain

Privacy concerns have led to the introduction of new data privacy legislation, such as the General Data Protection Regulation ( GDPR ) laws in Europe and the UK. However, as with all after-the-fact legislation, GDPR is based on the technology at the time. Learn More: The Email Marketer’s 4-Step Guide to GDPR Compliance.

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Digiday+ Research: How marketers are using AI to target ads, recommend products and provide customer service

Digiday

With e-commerce sales soaring in recent years, thanks in part to pandemic shutdowns, and the impending death of the third-party cookie driving a need for new data collection capabilities, more marketers are turning to natural language processing (NLP) and data-driven personalization to automate customer service and gather data for ad targeting.