QUALCOMM federated learning, clustered peer-to-peer AI systems
Summary
The European Patent Office published patent application EP4573497A1 for QUALCOMM's methods for discovery and signaling procedures in clustered and peer-to-peer federated learning AI systems. The patent covers technical procedures for distributed machine learning across telecommunications networks.
What changed
EPO published patent application EP4573497A1 filed by QUALCOMM INCORPORATED on March 25, 2026. The patent describes methods for discovery and signaling procedures for clustered and peer-to-peer federated learning systems, with IPC classifications covering G06N 3/098 (federated learning), G06N 20/00 (machine learning), and H04W 8/00 (wireless discovery). The application designates all relevant EU member states.
Patent publications do not impose regulatory obligations. Technology companies and telecommunications firms should note this intellectual property filing for competitive awareness and freedom-to-operate considerations, but no compliance actions, deadlines, or penalties are associated with this publication.
Source document (simplified)
METHODS FOR DISCOVERY AND SIGNALING PROCEDURE FOR CLUSTERED AND PEER-TO-PEER FEDERATED LEARNING
Publication EP4573497A1 Kind: A1 Mar 25, 2026
Applicants
QUALCOMM INCORPORATED
Inventors
ASHOUR, Mahmoud, GUAN, Kyle Chi, BALASUBRAMANIAN, Anantharaman, GULATI, Kapil, KESAVAREDDIGARI, Himaja, GUO, Hui, YU, Lan
IPC Classifications
G06N 3/098 20230101AFI20260217BHEP G06N 20/00 20190101ALI20260217BHEP H04W 8/00 20090101ALI20260217BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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