Qualcomm incorporated (20240276534). QUANTIZED ORTHOGONAL MODULATION simplified abstract
Contents
QUANTIZED ORTHOGONAL MODULATION
Organization Name
Inventor(s)
Mohamed Fouad Ahmed Marzban of San Diego CA (US)
Wooseok Nam of San Diego CA (US)
Mahmoud Taherzadeh Boroujeni of San Diego CA (US)
Tianyang Bai of Somerville NJ (US)
Peter Gaal of San Diego CA (US)
QUANTIZED ORTHOGONAL MODULATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240276534 titled 'QUANTIZED ORTHOGONAL MODULATION
Simplified Explanation: The patent application discusses quantized orthogonal modulation for non-coherent over-the-air federated learning. It involves wireless devices comparing gradients to threshold values and signaling to network nodes based on the comparison results.
- Wireless devices compare gradients to threshold values.
- Signaling is sent to network nodes based on the threshold condition.
- The signaling is transmitted via different resources depending on the gradient's satisfaction of the threshold condition.
Key Features and Innovation:
- Quantized orthogonal modulation for non-coherent over-the-air federated learning.
- Comparison of gradients to threshold values.
- Signaling to network nodes based on threshold conditions.
- Transmission of signaling via different resources.
Potential Applications: This technology can be applied in wireless communication systems, federated learning environments, and IoT devices.
Problems Solved:
- Efficient signaling in federated learning systems.
- Improved communication between wireless devices and network nodes.
Benefits:
- Enhanced communication reliability.
- Optimal resource utilization.
- Streamlined federated learning processes.
Commercial Applications: Potential commercial applications include wireless communication systems, IoT devices, and federated learning platforms.
Prior Art: Prior research in orthogonal modulation techniques and federated learning systems can provide insights into related technologies.
Frequently Updated Research: Stay updated on advancements in wireless communication protocols, federated learning algorithms, and orthogonal modulation techniques for potential improvements in this technology.
Questions about Quantized Orthogonal Modulation for Non-Coherent Over-the-Air Federated Learning: 1. How does quantized orthogonal modulation improve communication efficiency in federated learning systems? 2. What are the key differences between quantized orthogonal modulation and traditional modulation techniques in wireless communication systems?
Original Abstract Submitted
aspects of the disclosure are directed to quantized orthogonal modulation for non-coherent over-the-air (ota) federated learning (fl). in some examples, a wireless device may compare a gradient to a threshold value to determine whether the gradient satisfies a threshold condition. the wireless device may also output, for transmission to a network node, signaling via one of a first resource or a second resource, wherein the signaling is outputted via the first resource if the gradient satisfies the threshold condition, and wherein the signaling is outputted via the second resource if the gradient does not satisfy the threshold condition.
