Gradient accumulation for federated learning
US12035286B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 14, 2022 |
| Grant date | Jul 9, 2024 |
| Priority date | — |
| Expiry date | Feb 23, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W24/02
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A UE may identify, in each round other than an initial round, a first plurality of local model update elements of a present round. The first plurality of local model update elements of the present round may be associated with an updated local machine learning model. The UE may transmit to a base station, in each round other than the initial round, over a multiple access channel via analog signaling, a second plurality of local model update elements of the present round based on a third plurality of local model update elements of the present round. The third plurality of local model update elements of the present round may correspond to a sum of the first plurality of local model update elements of the present round and a local model update error of a previous round immediately before the present round. The analog signaling may be associated with OTA aggregation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.