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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. In a decentralized setup, devices communicate directly with each other to synchronize model parameters.

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Integration of Federated Learning for Privacy-Preserving Ad Targeting

The Ad Tech Blog

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

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Uh oh! European carriers are trying to get into ‘personalized’ ad targeting

TechCrunch Ads

” Users of mobile networks — who pay their hard-earned money to get cellular connectivity, not to be clobbered with (yet) more consent pop-up spam and/or be ad-stalked around the internet — may well take a very different view, as they wonder how many times they’re going to have to keep slaying the tracking zombie.

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Digital Marketing Trends for 2025

AdvertiseMint

AI-driven analytics can optimize ad targeting, ensuring that the right message reaches the right audience at the right time. Brands that clearly communicate their sustainable practices will likely build deeper trust and loyalty with their customer base.

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Why marketers need to build customer trust

Martech

There were legal obligations that were required like GDPR and CPA that came into being and they had different requirements like providing users with more control about their data and giving them privacy rights,” Sood said. Then there was a technology swing as well,” she added. Why this new focus on privacy? Click here to download!

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Homomorphic Encryption in Federated Learning

The Ad Tech Blog

Challenges include computational overhead and communication costs. Companies collect vast amounts of user data to deliver personalized ads. However, this data collection raises privacy issues, especially with regulations like GDPR and CCPA. The main challenges include computational overhead and communication costs.

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The Problems With Behavioral Targeting

Brid.tv

Although it is still one of the most common advertising methods, advertisers are actively looking for alternatives to behavioral targeting (such as contextual, semantic, permission-based, and so on). Secondly, behavioral targeting seems to have missed the mark on making advertisements “less annoying” for the consumer.

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