Jerome Anand

Title: Jerome Anand and Federated Learning Privacy

Introduction

Jerome Anand is an inventor based in Bengaluru, India, and is associated with Intel Corporation. His patent work addresses privacy protections in federated learning, where models can be trained across distributed systems while limiting exposure of sensitive data.

Latest Patents

Anand is named on one patent, 1 patent: “Mitigating Private Data Leakage in a Federated Learning System.” The invention describes a process in which a federated server trains a model using public data and global model parameters. A local system then trains the model with shareable local data, generates local model parameters, and obscures those parameters before sending them to the server. The process also describes modifying the model to classify private data and training it with that data using the local parameters, which are then updated.

Career Highlights

Anand’s listed invention focuses on reducing the risk of private-data leakage during federated model training. His work combines local model training, parameter obscuring, and updates based on private data.

Collaborations

Anand is associated with Intel Corporation. His listed coworkers include Anil Kumar Bangalore Rajashekar and Dinkar Dhawale.

Conclusion

Jerome Anand’s patent contribution centers on protecting private information while enabling collaborative machine learning across federated systems.