Signal synchronization for over-the-air aggregation in a federated learning framework
US12432675B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2022 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Dec 28, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W72/21
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Disclosed are systems and techniques for wireless communications. For instance, a user equipment (UE) can perform federated learning to generate a first set of updated model parameters corresponding to a machine learning model. In some cases, the UE can receive a request for the first set of updated model parameters from a network entity, wherein the request includes a resource allocation associated with an uplink channel. In some examples, the UE can determine a signal phase corresponding to the uplink channel. In some aspects, the UE can transmit, based on the signal phase, the first set of updated model parameters using the resource allocation on the uplink channel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.