Leganés, Spain

Vittorio Prodomo

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Nec Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vittorio Prodomo. Retrieved from https://idiyas.com/inventor/vittorio-prodomo

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Vittorio Prodomo: Privacy Preservation in Neural Networks

Introduction

Vittorio Prodomo is an inventor based in Leganés, Spain. His work includes a patent application focused on protecting privacy in machine-learning systems.

Latest Patents

Prodomo’s patent, “Privacy Preservation in Neural Networks,” describes a method that divides a trained neural network into two parts: a privacy-preservation encoder and a privacy-preservation machine-learning model. The method then retrains both components. This approach is intended to improve artificial intelligence systems, optimize performance, and support decision-making in areas such as healthcare, fraud detection, image recognition, predictive maintenance, and connected vehicles. Prodomo is associated with 1 patent.

Career Highlights

Prodomo works at NEC Corporation. His patent work addresses privacy protection in machine learning, an important consideration for AI applications that process sensitive or personal information.

Collaborations

Prodomo’s listed coworkers include Roberto Gonzalez Sanchez and Marco Gramaglia.

Conclusion

Vittorio Prodomo’s patent describes a neural-network approach that combines privacy preservation with retraining, with potential applications across several AI-driven fields.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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