US Patent Issued to ATOMBEAM TECHNOLOGIES on May 12 for "Latent transformer architecture with attention mechanisms and expert systems for federated deep learning with homomorphic encryption" (Washington Inventor)

ALEXANDRIA, Va., May 12 -- United States Patent no. 12,627,315, issued on May 12, was assigned to ATOMBEAM TECHNOLOGIES INC. (Moraga, Calif.).

"Latent transformer architecture with attention mechanisms and expert systems for federated deep learning with homomorphic encryption" was invented by Brian Galvin (Silverdale, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A latent transformer architecture with latent attention mechanisms and expert processing systems for federated deep learning. The latent transformer operates entirely within latent space, eliminating traditional embedding and positional encoding layers while maintaining full attention capabilities. Input data is compressed into latent vectors...