Abstract: The problem of data privacy protection in the information age deserves people’s attention. As a distributed machine learning technology, federated learning can effectively solve the problem ...

When biometric identifiers are compromised, they cannot be replaced like a password, and the consequences can be irreversible ...

Let's start off by understanding how a simple "open" differential works. The sequence of power distribution to the wheels starts from the pinion gear, which sends torque from the driveshaft to ...

Editor's note: The IAPP is policy neutral. We publish contributed opinion and analysis pieces to enable our members to hear a broad spectrum of views in our domains ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...

President Donald Trump and the Republican Party have spent the better part of the president’s second term radically reshaping the federal government. But in recent weeks, the GOP has set its sights on ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

If you filed a claim in Facebook's $725 million privacy settlement, you could soon get a payment, according to the settlement's administrator. Millions of consumers who used Facebook over a 15-year ...

Differential privacy represents a fundamental shift from traditional anonymization approaches, using mathematical principles to add strategic noise to datasets while maintaining their statistical ...

With its uncompromising focus on user privacy, Apple has faced challenges collecting enough data to train the large language models that power Apple Intelligence features and that will ultimately ...

The National Institute of Standards and Technology (NIST) has finalized its guidelines for evaluating differential privacy to help organizations share and analyze large datasets while protecting ...