EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

“…In this study, we present EdgeGuard, a novel decentralized architecture that combines blockchain technology, federated learning, and edge computing to address those challenges and coordinate medical resources across IoMT networks. …”
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Evaluation of the Cost of Intelligent Upgrades of Transportation Infrastructure for Intelligent Connected Vehicles by Zongwei Liu, Haokun Song, Hong Tan, Han Hao, Fuquan Zhao

“…The costs of RSUs, LIDARS, and edge computing servers as well as data transmission rate of 5G are key elements affecting the costs of intelligent upgrades of transportation infrastructure.…”
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A Comparison of Penguin Swarm Optimization Algorithms for Enhancing Network Throughput by Talha Akhtar, Najmi Ghani Haider, Nadeem Kafi Khan, Rashid Uddin

“…With its ability to deliver computing and storage resources at the network's edge, close to device terminals and users, edge computing is an evolving distributed computing approach well-suited for facilitating extensive management of smart devices in the future smart grid. …”
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Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory by Shuxu Zhao, Xinyuan Chen, Xiaolong Wang

“…Edge computing empowers the IoV to achieve performance requirements such as low latency and high computational load for in-vehicle services. …”
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Edge Intelligence-Based RAN Architecture for 6G Internet of Things by Yang Liu, Qingtian Wang, Haitao Liu, Jiaying Zong, Fengyi Yang

“…Edge Intelligence, which blends Artificial Intelligence (AI) with Radio Access Network (RAN) and edge computing, is recommended as a crucial enabling technology for 6G to accommodate intelligent and efficient applications. …”
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Differential, Linear, and Meet-in-the-Middle Attacks on the Lightweight Block Cipher RBFK by Sugio Nobuyuki

“…Randomized butterfly architecture of fast Fourier transform for key cipher (RBFK) is the lightweight block cipher for Internet of things devices in an edge computing environment. Although the authors claimed that RBFK is secure against differential cryptanalysis, linear cryptanalysis, impossible differential attack, and zero correlation linear cryptanalysis, the details were not explained in the literature. …”
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Real-Time Detection of Milk Adulteration with a Portable Multispectral Analysis Device: A Multispectral Sensor and Optimized Logistic Regression Approach by Mahmut Durgun

“…This study presents the development of a portable, low-cost, and edge computing-based system for real-time milk adulteration detection. …”
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Efficient Data Transmission for Community Detection Algorithm Based on Node Similarity in Opportunistic Social Networks by Aizimaiti Xiaokaiti, Yurong Qian, Jia Wu

“…When dividing communities, we use mobile edge computing to combine network topology attributes with social attributes. …”
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Artificial intelligence Internet of Things: A new paradigm of distributed sensor networks by Kah Phooi Seng, Li Minn Ang, Ericmoore Ngharamike

“…The article also discusses the combination of smart sensors, edge computing, and software-defined networks as enabling technologies for the artificial intelligence Internet of Things.…”
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Cooperative Cloud-Edge Feature Extraction Architecture for Mobile Image Retrieval by Chao He, Gang Ma

“…The existing mobile image retrieval scheme is based on mobile cloud-edge computing architecture. That is, user equipment captures images and uploads the captured image data to the edge server. …”
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A Comprehensive Survey of Deep Learning Approaches in Image Processing by Maria Trigka, Elias Dritsas

“…Additionally, it highlights the potential of combining DL with emerging technologies such as edge computing and explainable artificial intelligence (AI) to address scalability and interpretability challenges. …”
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Situation awareness via Internet of things and in-network data processing by Johannes Ehala, Jaanus Kaugerand, Raido Pahtma, Sergei Astapov, Andri Riid, Timo Tomson, Jürgo-Sören Preden, Leo Mõtus

“…The sensor nodes have the capability to perform in-sensor signal processing and distributed in-network data aggregation and fusion complying with edge computing paradigm. In-network data processing is supported by service-oriented middleware which facilitates run-time sensor discovery and tasking and ad hoc (re)configuration of the network links. …”
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FedRSC: A Federated Learning Analysis for Multi-Label Road Surface Classifications by Ioannis V. Vondikakis, Ilias E. Panagiotopoulos, George J. Dimitrakopoulos

“…This research presents a federated learning analysis that brings together edge computing and cloud technology, by identifying various road conditions through a multi-label road surface classification analysis. …”
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Life Cycle Analysis in the Context of Smart Cities by Berville Charles, Croitoru Cristiana, Bode Florin

“…This can be achieved through edge computing, energy-efficient data centers, and policies that promote digital sobriety. …”
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A Spatiotemporal Graph Transformer Network for real-time ball trajectory monitoring and prediction in dynamic sports environments by Zujian Li, Dan Yu

“…Our future work aims to enhance memory efficiency and optimize multi-scenario inference speed to broaden the model’s deployment in edge computing environments.…”
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Analysis of Intelligent Transportation System Application Based on Internet of Things and Big Data Technology under the Background of Information Society by Di Wang, Weijing Xu, Xuesong Jia

“…In order to verify the feasibility of the intelligent transportation system, technologies such as big data edge computing are also used to comprehensively evaluate and study the use of the system. …”
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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

“…Future research will explore edge computing, multi-agent reinforcement learning, and real-time data integration to further enhance scalability and adaptability.…”
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Decentralized Federated Learning with Prototype Exchange by Lu Qi, Haoze Chen, Hongliang Zou, Shaohua Chen, Xiaoying Zhang, Hongyan Chen

“…As AI applications become increasingly integrated into daily life, protecting user privacy while enabling collaborative model training has become a crucial challenge, especially in decentralized edge computing environments. Traditional federated learning (FL) approaches, which rely on centralized model aggregation, struggle in such settings due to bandwidth limitations, data heterogeneity, and varying device capabilities among edge nodes. …”
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Low-Complexity Timing Correction Methods for Heart Rate Estimation Using Remote Photoplethysmography by Chun-Chi Chen, Song-Xian Lin, Hyundoo Jeong

“…Through a comparative analysis, this study offers insights into efficient timing correction techniques for enhancing HR estimation from rPPG, particularly suitable for edge-computing applications where low computational complexity is essential. …”
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Using Internet of things technology to construct an integrated intelligent sensing environment for long-term care service by Lun-Ping Hung, Nan-Chen Hsieh, Li-Ju Lin, Zong-Jie Wu

“…This study uses a medical-grade Internet of Things module that can calculate the environmental values with edge computing to generate different levels of alarms by combining the index-weighted moving average method to dynamically calculate the optimal threshold value for the environment. …”
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