Intellectual Property India Publishes Patent Application for Secure Quantum-Assisted Federated Learning Using Qcnn-Aae Latent Compression And Tensor-Pubo Optimization

MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641096866 A) filed by Vellore Institute Of Technology on August 11, 2026, for Secure Quantum-Assisted Federated Learning Using Qcnn-Aae Latent Compression And Tensor-Pubo Optimization.

Inventors include Kalyanaraman P; Sourodeep Kundu; and Lokeshkumar Ramasamy.

The application for the patent was published on August 14, 2026, under issue no. 33/2026.

Abstract: WE CLAIM: 1. A method for performing a secure quantum-assisted federated learning round, the method comprising: receiving, at a middleware layer, model-update representations from a plurality of edge clients, wherein each edge client trains locally on private data without uploading raw data;...