首页|Patent Application Titled 'Sketched And Clustered Federated Learning With Automa tic Tuning' Published Online (USPTO 20240070531)
Patent Application Titled 'Sketched And Clustered Federated Learning With Automa tic Tuning' Published Online (USPTO 20240070531)
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NETL
NSTL
No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “The present invention relates generally to federated learning , and more particularly to sketched and clustered federated learning with automa tic tuning. “Federated learning is a distributed learning framework that enables training a model from decentralized data located at client sites, without the data ever lea ving the client sites. Compared to a centralized model, in which training requir es all the data to be transmitted to and stored in a central location (e.g., a d ata center), federated learning has the benefits of preserving data privacy whil e avoiding transmission of large volumes.
NETL
NSTL
