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Latest Publications & Patents on Edge Computing

Edge Computing

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Edge computing
Edge computing enhances real-time data processing and analytics by decentralizing computation closer to data sources.

Edge Computing decentralizes data processing by relocating computation and storage closer to data sources, minimizing latency and bandwidth usage in distributed networks. It integrates edge nodes, micro data centers, and gateways to support real-time analytics, IoT applications, and AI inference at the network periphery. Architectural considerations include resource management, orchestration, virtualization, and security within heterogeneous edge environments. Our compilation below presents recent publications and patents detailing innovations in edge infrastructure design, protocol development, workload optimization, and scalable deployment strategies advancing the capabilities and adoption of edge computing systems.

This is our latest selection of worldwide publications and patents in english on Edge Computing, between many scientific online journals, classified and focused on edge computing, fog computing, edge node, latency reduction, distributed computing, edge analytic, IoT edge, edge AI, edge data center, micro data center, edge orchestration, edge security, edge network, real-time processing, edge device, edge infrastructure, edge cloud, data localization, edge caching, edge gateway, edge resource management, edge virtualization and edge workload.

Fixed wireless access network latency reduction system and method

Patent published on the 2026-07-02 in US under Ref US20260189896 by T MOBILE INNOVATIONS LLC [US] (Fang Zheng [us], Cai Zheng [us])

Abstract: Methods and systems provided herein reduce network latency for FWA deployments. The use of a WiFi protocol stack in the RAN enables local breakout to the Internet and bypassing of the core network. Further, utilization of a licensed bandwidth spectrum facilitates the use of WiFi from greater distances than traditional WiFi.[...]


Our summary: This system reduces latency in fixed wireless access networks. It employs a WiFi protocol stack for local Internet breakout, avoiding core network delays. Utilizing licensed bandwidth allows for extended WiFi range compared to traditional methods.

network latency, fixed wireless access, WiFi protocol, licensed spectrum

Patent

Bidirectional bandwidth allocation in a sase network

Patent published on the 2026-07-02 in US under Ref US20260189981 by CATO NETWORKS LTD [IL] (Babich Dmitry [il], Katzenstein Aviram [il])

Abstract: Systems, methods, and computer-readable media are described for facilitating network synchronization within a network comprising multiple distributed server clusters connected to various edge devices. The synchronization process involves maintaining multiple copies of a routing table, which are distributed across the locations of the server clusters and edge devices. When a connectivity change occurs and is detected by at least one server in the distributed server clusters, this change is repres[...]


Our summary: This content describes a method for network synchronization in a SASE network. It involves maintaining and updating multiple copies of a routing table across distributed server clusters and edge devices. Connectivity changes are detected and represented as deltas, which are then synchronized to ensure consistency.

Bidirectional bandwidth, network synchronization, distributed server clusters, routing table

Patent

Edge computing system and method for analyzing anti-drone system

Patent published on the 2026-07-02 in US under Ref US20260185903 by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INST [KR] (Kim Hee Do [kr], Wang Kicheoul [kr], Kim Chorwon [kr], Kim Jaein [kr])

Abstract: [0000] An edge computing device includes: a physical communication interface connected to a communication interface of an anti-drone product; and a text data collector configured to connect to the anti-drone product, to receive output data from the connected anti-drone product, to extract text data from the received output data of the anti-drone product, and to convert the extracted text data into data in a preset data format.[...]


Our summary: An edge computing device interfaces with an anti-drone product. It collects and extracts text data from the product s output. The extracted data is then converted into a preset format for analysis.

Edge computing, anti-drone, data extraction, communication interface

Patent

Systems, devices, articles and methods for calculating sports performance metrics using positional data

Patent published on the 2026-07-01 in EP under Ref EP4768090 by DRIVE HOCKEY ANALYTICS INC [CA] (Johnson Ron [ca], Akella Krishant [ca], Dahlstedt Mike [ca])

Abstract: [0001] Embodiments of the present disclosure relate to systems, devices, articles and methods for calculating sports performance metrics using positional data. The system includes a local and a cloud computing system. A plurality of player sensor tags and wireless data transceivers measure the location of players during a tracked event. The location data are processed either in real-time by a local edge computing device or post processed by a cloud computing device using mathematical and sports-[...]


Our summary: The system calculates sports performance metrics using positional data from player sensor tags. Data is processed in real-time or via cloud computing for performance analysis. Results provide tactical insights based on acceleration and g-force measurements.

positional data, sports performance metrics, edge computing, cloud computing

Patent

Methods for encoding and decoding data from array-based sensing systems

Patent published on the 2026-07-01 in EP under Ref EP4769224 by STICHTING IMEC NEDERLAND [NL] (He Yuming [nl], Liaw Hua-peng [nl], Liu Yao-hong [nl], Tang Guangzhi [nl], Gandham Venkata Sai Lohit [nl])

Abstract: [0001] Example embodiments describe a computer-implemented methods for training a spiking neural network for encoding and decoding event information obtained from a set of sensors in an array-based sensing system. Further embodiments describe a neural network training system as well as a sensor and an edge gateway device employing such encoding and decoding spiking neural networks.[...]


Our summary: This content discusses methods for encoding and decoding data using spiking neural networks. It describes a computer-implemented approach for training these networks with event information from sensors. Additionally, it mentions a neural network training system and devices that utilize this technology.

data encoding, spiking neural networks, array-based sensing, edge gateway

Patent

System and method for decision-making in hardware systems using quantum-inspired compressed models

Patent published on the 2026-07-01 in EP under Ref EP4769228 by MULTIVERSE COMPUTING INC [CA] (Genuardi Oquendo Alessandro Daniele [ca], Sinha Nilotpal Kanti [ca], Orus Roman [ca], Wirjadi Oliver [ca], Mugel Samuel [ca])

Abstract: [0001] Reliance on cloud-based decision-making presents several challenges. To address at least some of these technical challenges, an example system is provided. The system includes an edge computing device including a decision-making model. The system also includes at least one local sensor coupled to the edge computing device through a localized network, wherein the at least one local sensor is disposed in a physical environment. The system also includes at least one local device coupled to t[...]


Our summary: The system uses edge computing to process audio data from local sensors. It determines the state of the physical environment using a decision-making model. Based on this state, it generates instructions for local devices.

quantum-inspired models, edge computing, decision-making, localized network

Patent

Probing a theoretical framework for a photonic extreme learning machine

Published on 2026-05-29 by Vicente Rocha, Duarte Silva, Felipe C Moreira, Catarina S Monteiro, Tiago D Ferreira and Nuno A Silva @IOP SCIENCE

Abstract: The development of computing paradigms alternative to von Neumann architectures has recently fueled significant progress in novel all-optical processing solutions. In this work, we investigate how the coherence properties can be exploited for computing by expanding information onto a higher-dimensional space in the photonic extreme learning machine framework. A theoretical framework is provided based on the transmission matrix formalism, mapping the input plane onto the output camera plane, resu[...]


Our summary: This work investigates a theoretical framework for photonic extreme learning machines using coherence properties for computing. It establishes connections with complex extreme learning machines and derives upper bounds for hidden space dimensionality. Experiments validate the model, suggesting potential advancements in all-optical hardware and edge computing solutions.

photonic computing, extreme learning machine, coherence properties, dimensionality estimation

Publication

Adaptive Multi-Camera Fusion and Calibration for Large-Scale Multi-Vehicle Cooperative Simulation Scenarios

Published on 2026-02-03 by Hui Zhang, Chenyu Xia, Huantao Zeng @MDPI

Abstract: In the development of multi-vehicle cooperative hardware-in-the-loop (HIL) simulation platforms based on machine vision, accurate vehicle pose estimation is crucial for achieving efficient cooperative control. However, monocular vision systems inevitably suffer from limited fields of view and insufficient image resolution during target detection, making it difficult to meet the requirements of large-scale, multi-target real-time perception. To address these challenges, this paper proposes an eng[...]


Our summary: This paper presents a multi-camera cooperative vision detection method for large-scale vehicle simulations. It enhances vehicle pose estimation by projecting images onto a unified plane and optimizing image stitching. Experimental results show high accuracy and real-time performance, achieving a 93.41% identification rate and 30 frames per second output.

Multi-Camera Fusion, Vehicle Pose Estimation, Real-Time Processing, Image Mosaicking

Publication

Topics covered: Edge Computing, real-time data processing, analytics, decentralized computation, data sources, latency, bandwidth usage, distributed networks, edge nodes, micro data centers, IoT applications, AI inference, resource management, orchestration, virtualization, security, scalable deployment strategies, infrastructure design, protocol development ISO/IEC 30141, IEEE 1934, ETSI GS MEC 003, NIST SP 800-183, and ITU-T Y3502..

Glossary of Terms Used

Internet of Things (IoT): a network of interconnected devices embedded with sensors, software, and other technologies that enable them to collect and exchange data over the internet, facilitating automation, monitoring, and control of various processes and systems.

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(if date is unknown or not relevant, e.g. "fluid mechanics", a rounded estimation of its notable emergence is provided)

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