Superseded Federated Learning, Dell Products L.P., US12608619B2
Summary
The USPTO granted patent US12608619B2 to Dell Products L.P. on April 21, 2026, covering superseded federated learning methods. Inventors Ohad Arnon and Dany Shapiro developed a performance-efficient federated learning technique designed to further decouple multiparty dependency and eliminate third-party participation during the classification or prediction inference phase of multiparty collaborations. The patent contains 11 claims under CPC classifications G06N 3/098, G06N 3/045, and G06N 3/0475.
“Superseded federated learning may entail a novel, performance-efficient federated learning technique designed to further decouple multiparty dependency on one another, as well as any third-parties, while collaborating in multiparty computations.”
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GovPing monitors USPTO Patent Grants - AI & Computing (G06N) for new telecom & technology regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 20 changes logged to date.
What changed
The USPTO granted patent US12608619B2 to Dell Products L.P. on April 21, 2026, covering methods and systems for superseded federated learning. The patented technique is described as a novel, performance-efficient approach designed to further decouple multiparty dependency on one another, as well as any third-parties, while collaborating in multiparty computations. Unlike existing federated learning methodologies, it eliminates complex and often inefficient coordination amongst parties during the classification or prediction inference phase.
Patent grants create enforceable intellectual property rights for the assignee (Dell Products L.P.) but do not impose compliance obligations on third parties. Organizations developing or deploying federated learning systems may wish to review this patent to assess potential licensing requirements or design-around considerations.
Archived snapshot
Apr 22, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Superseded federated learning
Grant US12608619B2 Kind: B2 Apr 21, 2026
Assignee
Dell Products L.P.
Inventors
Ohad Arnon, Dany Shapiro
Abstract
A method and system for implementing superseded federated learning. Superseded federated learning may entail a novel, performance-efficient federated learning technique designed to further decouple multiparty dependency on one another, as well as any third-parties, while collaborating in multiparty computations. Specifically, unlike any current federated learning methodology, superseded federated learning eliminates the complex and often inefficient coordination amongst parties, as well as removes third-party participation, during the classification or prediction inference phase of multiparty collaborations.
CPC Classifications
G06N 3/098 G06N 3/045 G06N 3/0475
Filing Date
2021-12-22
Application No.
17559159
Claims
11
Mentioned entities
Parties
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