A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that ...

Abstract: Homomorphic encryption-based federated learning (HEFL) strengthens privacy by aggregating encrypted model updates, but it also renders existing backdoor defenses that assume plaintext ...

If you’ve read anything about technology in the last few years, you may have seen the term “encryption” floating around. It’s a simple concept, but the realities of its use are enormously complicated.

Abstract: With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a ...

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