Remove GDPR Remove Healthcare Remove Machine Learning
article thumbnail

Homomorphic Encryption in Federated Learning

The Ad Tech Blog

Federated learning trains models across multiple decentralized devices. Combining these technologies enhances privacy in machine learning. HE is particularly useful in scenarios where data privacy is paramount, such as in healthcare and finance. How does federated learning work?

article thumbnail

Federated Learning for Privacy-Preserving Ad Targeting

The Ad Tech Blog

This approach allows for the development of robust machine learning models without compromising user privacy, making it a valuable tool for ad tech companies navigating the complexities of data privacy regulations. Federated learning can be applied in various industries beyond advertising. FAQs What is federated learning?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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. Frequently Asked Questions What is federated learning? How does federated learning enhance privacy?

article thumbnail

Privacy-Preserving GANs for User Data Protection

The Ad Tech Blog

Introduction to GANs Generative Adversarial Networks (GANs) are a class of machine learning frameworks designed to generate synthetic data that closely resembles real data. FL is particularly useful in scenarios where data privacy regulations, such as GDPR and CCPA, restrict the sharing of personal data.

article thumbnail

Federated Learning Integration with GANs for Privacy

The Ad Tech Blog

Personalized federated learning addresses client-specific needs. Federated Learning Federated learning (FL) is a decentralized machine learning approach where multiple clients collaboratively train a model without sharing their raw data. FAQs What is federated learning?

article thumbnail

What is call analytics and how does it deliver key insights to marketers?

Martech

Many call analytics platforms use a variety of natural language processing (NLP) and machine-learning algorithms to automatically assess calls and score leads. Call data privacy continues to be a priority, particularly for businesses in the healthcare and financial services markets, which must comply with HIPAA and HITECH regulations.

article thumbnail

A marketer’s 2022 guide to Marketo: What it does today

Martech

Marketo, which Abobe renamed Adobe Marketo Engage, primarily serves SMB to enterprise-level B2B marketers and some B2C considered-purchase marketers in a variety of industries, including technology, business services, healthcare, financial services, education, manufacturing, and telco. Lead management.

ROI 131