公开(公告)号：US20240380685A1

公开(公告)日：2024-11-14

申请号：US18656215

申请日：2024-05-06

Applicant: QUALCOMM Incorporated

Inventor： Vijaya Datta MAYYURI ,  An CHEN

IPC: H04L45/125 ,  H04L47/193 ,  H04L47/41

Abstract: Various aspects generally relate to routing web traffic over multiple internet protocol (IP) interfaces. For example, a user equipment (UE) may receive a request to open, in parallel, multiple transmission control protocol (TCP) socket connections associated with hypertext transfer protocol (HTTP) traffic, distribute the multiple TCP socket connections among multiple available IP interfaces, and route the HTTP traffic associated with the multiple TCP socket connections over the multiple IP interfaces. Additionally, or alternatively, the UE may receive a request to open a user datagram protocol (UDP) socket associated with QUIC traffic, select, from multiple available IP interfaces, a current IP interface that has a best quality of service (QOS) metric, and route the QUIC traffic associated with the UDP socket over the current IP interface. Numerous other aspects are described.

公开(公告)号：US20240232645A9

公开(公告)日：2024-07-11

申请号：US18461410

申请日：2023-09-05

Applicant: QUALCOMM Incorporated

Inventor： Vijaya Datta MAYYURI ,  An CHEN

IPC: G06N3/098

CPC classification number: G06N3/098

Abstract: A processor-implemented method includes receiving machine learning model updates from clients in a federated learning system. The method also includes determining a fixed local zone associated with each of the clients, the fixed local zone having a first fixed boundary. The method includes updating model weights of a central machine learning model based on local machine learning updates for a local subset of the clients corresponding to the fixed local zone. The method includes updating the model weights of the central machine learning model based on neighbor machine learning updates for a neighbor subset of the clients. The neighbor subset corresponds to a fixed neighbor zone that neighbors the fixed local zone and has a second fixed boundary. The neighbor machine learning updates have a different weight than the local machine learning updates when updating model weights. A value of the different weight corresponds to a similarity parameter.

公开(公告)号：US20240078679A1

公开(公告)日：2024-03-07

申请号：US17901429

申请日：2022-09-01

Applicant: QUALCOMM Incorporated

Inventor： Chung-Chi TSAI ,  Shubhankar Mangesh BORSE ,  Meng-Lin WU ,  Venkata Ravi Kiran DAYANA ,  Fatih Murat PORIKLI ,  An CHEN

IPC: G06T7/11 ,  G06T7/73

CPC classification number: G06T7/11 ,  G06T7/74 ,  G06T2207/20112

Abstract: Methods, systems, and apparatuses for image segmentation are provided. For example, a computing device may obtain an image, and may apply a process to the image to generate input image feature data and input image segmentation data. Further, the computing device may obtain reference image feature data and reference image classification data for a plurality of reference images. The computing device may generate reference image segmentation data based on the reference image feature data, the reference image classification data, and the input image feature data. The computing device may further blend the input image segmentation data and the reference image segmentation data to generate blended image segmentation data. The computing device may store the blended image segmentation data within a data repository. In some examples, the computing device provides the blended image segmentation data for display.