Qualcomm incorporated (20240137944). RECURRING COMMUNICATION SCHEMES FOR FEDERATED LEARNING simplified abstract
Contents
- 1 RECURRING COMMUNICATION SCHEMES FOR FEDERATED LEARNING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 RECURRING COMMUNICATION SCHEMES FOR FEDERATED LEARNING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
RECURRING COMMUNICATION SCHEMES FOR FEDERATED LEARNING
Organization Name
Inventor(s)
Hamed Pezeshki of San Diego CA (US)
Sony Akkarakaran of Poway CA (US)
RECURRING COMMUNICATION SCHEMES FOR FEDERATED LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240137944 titled 'RECURRING COMMUNICATION SCHEMES FOR FEDERATED LEARNING
Simplified Explanation
The abstract of the patent application describes a system where a user equipment (UE) receives a federated learning configuration from a base station to facilitate machine learning associated with a periodic communication scheme.
- User equipment (UE) receives a federated learning configuration from a base station.
- The configuration indicates a recurring communication scheme for machine learning.
- UE communicates with the base station based on the federated learning configuration.
Potential Applications
This technology could be applied in various industries such as telecommunications, IoT, and data analytics for improving machine learning models through federated learning.
Problems Solved
1. Enhances machine learning capabilities in wireless communication systems. 2. Facilitates efficient communication between user equipment and base stations for federated learning.
Benefits
1. Improved machine learning performance. 2. Enhanced communication efficiency. 3. Better utilization of wireless resources.
Potential Commercial Applications
Optimizing machine learning algorithms in telecommunications networks, enhancing data analytics in IoT devices, and improving predictive maintenance systems in various industries.
Possible Prior Art
There are existing patents related to federated learning in wireless communication systems, but specific prior art related to the described technology would need to be researched further.
Unanswered Questions
How does this technology impact network latency in wireless communication systems?
This article does not delve into the potential effects of this technology on network latency in wireless communication systems.
What are the potential security implications of implementing federated learning in wireless communication systems?
The article does not address the security concerns that may arise from implementing federated learning in wireless communication systems.
Original Abstract Submitted
various aspects of the present disclosure generally relate to wireless communication. in some aspects, a user equipment (ue) may receive, from a base station, a federated learning configuration indicating a recurring communication scheme such as a periodic communication scheme for communicating with the base station to facilitate federated learning associated with a machine learning component. the ue may communicate with the base station based at least in part on the federated learning configuration. numerous other aspects are provided.
