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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. Ad tech companies face the challenge of balancing effective ad targeting with user privacy.

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Integration of Federated Learning for Privacy-Preserving Ad Targeting

The Ad Tech Blog

This technique is particularly useful in environments where data privacy is paramount, such as in personalized advertising and healthcare. Moreover, federated learning can improve the efficiency of ad targeting algorithms by enabling them to learn from a broader range of data inputs without compromising on privacy.

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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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Simulmedia Announces Partnership with M3 MI’s MARS Consumer Health Study to Enable Pharma Marketers to Reach Target Patient Audiences Through Consent-Based Data

Ad Tech Daily

Leveraging M3 MI’s (formerly Kantar Media Healthcare Research) self-reported, survey-based healthcare data, Simulmedia’s enhanced offering provides pharma marketers with future-proof, privacy-compliant targeting across streaming TV.

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Why marketers have a love-hate relationship with complexity

Martech

Henk-jan ter Brugge is director, global digital marketing and e-commerce for consumer- and healthcare-tech giant Philips in Amsterdam. Read next: Data and confused: The increasing complexity of digital ad targeting. We caught up with him about his experience with marketing and technology. So how did you wind up in marketing?

Marketing 101
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What Is a Data Clean Room and How Does It Work?

Clearcode

The data added to a data clean room is not shared with other companies, allowing the data owners to maintain control of it. The cons of using data clean room: Aggregated data for reporting and ad targeting will be less accurate than ID-based data. What’s The Difference Between a CDP And a Data Clean Room? Conclusion.

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The APRA: What Advertisers Need to Know

Basis

Though there are currently sector-specific privacy laws, such as HIPAA for the healthcare industry and the Gramm-Leach-Bliley Act (GLBA) in financial services, the US has yet to enact a national data privacy framework that would be applicable to most businesses.