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Federated Learning for Privacy-Preserving Ad Targeting

The Ad Tech Blog

In the evolving landscape of digital advertising, federated learning offers a promising solution for privacy-preserving ad targeting. Ad tech companies can use it to create effective ad-targeting models. It enhances privacy by keeping user data on local devices.

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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. This includes understanding the data types involved, the privacy requirements, and the desired outcomes of your ad campaigns.

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Homomorphic Encryption in Federated Learning

The Ad Tech Blog

HE is particularly useful in scenarios where data privacy is paramount, such as in healthcare and finance. FL is particularly useful in industries where data privacy is critical, such as healthcare, finance, and advertising. Companies collect vast amounts of user data to deliver personalized ads.

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Black History Month Spotlight: 8 Industry Shapers in Ad Tech & Digital Media

Ad Monsters

Our Black History Month Listicle celebrates a host of Black ad tech and digital media professionals who are impacting the industry and the larger community of diverse professionals who are following them. After realizing Ad Tech’s potential, he joined data startups like PlaceIQ and Tapad in Product and Marketing roles.

Ad Tech 89
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How ad tech CEOs ride out a recession, according to Ogury’s new CEO

Digiday

It’s been a tough, sobering year in ad tech, with layoffs, advertising cuts, strategic resets and investment shortages. All of these issues arose while the ground continued to shift under the ad tech community as the tracking moved from precision to prediction. But every ad tech company believes the same thing.

Ad Tech 67
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Consumer Confidence Index and Digital Ad Spend Allocation

The Ad Tech Blog

Step 3: Leverage Data-Driven Insights Data-driven insights are crucial for optimizing digital ad spend. These insights can inform ad targeting, content creation, and media planning strategies. This shift will impact how businesses collect and use consumer data for ad targeting.

ROI 130
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What Are the Tradeoffs Between DMPs, MDMs and CDPs?

Ad Monsters

DMPs: DMPs were explicitly designed to improve the quality of programmatic ad targeting and were once a widely adopted and crucial piece of the ad tech ecosystem. DMPs also pass those segments to programmatic buying platforms to inform ad targeting against high-reach audiences.