18484087. SYSTEM AND METHOD FOR AERIAL-ASSISTED FEDERATED LEARNING simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
- 1 SYSTEM AND METHOD FOR AERIAL-ASSISTED FEDERATED LEARNING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR AERIAL-ASSISTED 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 Unanswered Questions
- 1.11 Original Abstract Submitted
SYSTEM AND METHOD FOR AERIAL-ASSISTED FEDERATED LEARNING
Organization Name
Inventor(s)
Tushar Vrind of Bangalore (IN)
Debabrata Das of Bangalore (IN)
SYSTEM AND METHOD FOR AERIAL-ASSISTED FEDERATED LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18484087 titled 'SYSTEM AND METHOD FOR AERIAL-ASSISTED FEDERATED LEARNING
Simplified Explanation
The present disclosure describes a system and method for aerial-assisted federated learning at a Federated Learning (FL) server. The method involves receiving parameter sets and trajectory information from User Equipment (UEs) and an aerial cell, selecting at least one UE based on this information, and activating an aerial link between the aerial cell and the selected UE to include it in a set of federated UEs associated with the FL server.
- Aerial-assisted federated learning system and method
- Receives parameter sets and trajectory information from UEs and an aerial cell
- Selects at least one UE based on the received information
- Activates an aerial link between the aerial cell and the selected UE
- Includes the selected UE in a set of federated UEs associated with the FL server
Potential Applications
This technology could be applied in various fields such as telecommunications, data analytics, and artificial intelligence.
Problems Solved
1. Efficiently incorporating UEs into federated learning processes 2. Enhancing communication and data transfer between UEs and FL servers
Benefits
1. Improved data processing and model training 2. Enhanced network coverage and connectivity 3. Optimized resource utilization
Potential Commercial Applications
Optimized network management systems for telecommunications companies
Possible Prior Art
There may be prior art related to federated learning systems and aerial communication technologies, but specific examples are not provided in the abstract.
Unanswered Questions
1. How does the system handle potential interference or signal loss during aerial-assisted communication? 2. What specific types of data or parameters are typically exchanged between the UEs and the FL server during the federated learning process?
Original Abstract Submitted
The present disclosure provides a system and a method for aerial-assisted federated learning at a Federated Learning (FL) server. The method includes receiving a plurality of parameter sets and trajectory information indicating a coverage range by the FL server from a plurality of User Equipment (UEs) and an aerial cell, respectively. Further, the FL server selects at least one UE from the plurality of UEs based on the received plurality of parameter sets and the received trajectory information. Additionally, the FL server triggers an activation of the aerial link between the aerial cell and the selected at least one UE to include the selected at least one UE to a set of federated UEs associated with the FL server.
