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edge computing

2,851 papers

#edge computing Oct 2026

On Edge Coloring of Signed Generalized Book Graphs and Signed Complete Graphs

A signed graph [Formula: see text] consists of graph [Formula: see text] and signature [Formula: see text]. An incidence of [Formula: see text] is a pair [Formula: see text], where [Formula: see text] is one of the end vertices of edge [Formula: see text]. A proper [Formula: see text]-edge coloring [Formula: see text]...

Deepak Sehrawat · 0 citations
#diffusion models Editorial Open access Oct 2026

Editorial: Reviews in batteries and electrochemistry volume II

A central theme is safer battery design through material and structural innovation. Myeong et al. introduce a fire-extinguishing current collector coated with melamine polyphosphate (MPP) for lithium-ion batteries. Their work demonstrates that integrating a flame-retardant layer directly onto the Al current collector c...

Christopher Johnson, Jung Ho Kim, Cheng Yang-Tse · 0 citations
#graph neural networks Book Oct 2026

AI-Driven Threat Detection Architecture

The rapid proliferation of digital infrastructure, spanning cloud computing, the Internet of Things (IoT), edge networks, and mobile platforms, has dramatically expanded the attack surface available to cybercriminals. Traditional signature-based intrusion detection systems, while effective against known threats, are fu...

Akashdeep Bhardwaj, Keshav Sinha, Sumitra · 0 citations
#edge computing Open access Oct 2026

A Layered Framework for Energy-Efficient Edge Computing in Sustainable IoT Systems

The proposed design uses adaptive sampling, data aggregation, compression, a workload-aware offloading mechanism, dynamic voltage/frequency scaling where available, and container consolidation and renewable-energy awareness, and carbon-aware workload placement, all of which are aligned with the direction of current Mul...

Farooque Alam · 0 citations
#edge computing Nov 2026

Diffusion Model Based Preference-Guided Learning for Edge Server Placement

Edge server placement (ESP) is critical in mobile edge computing (MEC) by enabling low-latency services and cost-efficient operation through effective resource allocation. However, with the rapid growth of candidate nodes and the integration of heterogeneous server types, ESP becomes a complex large-scale multi-objecti...

Feng Wang, Zhi-Hui He, Bing-Dong Li et al. · 0 citations
#edge computing Nov 2026

JCCO: Joint Communication and Computation Co-Design in MU-MIMO Edge Computing

The Internet of Things (IoT) faces critical challenges in supporting computation-intensive applications under resource-constrained edge networks, particularly in high-precision manufacturing scenarios requiring high-concurrency and low-latency task offloading. This paper proposes Joint Communication and Computation Co-...

Jia-Jian Li, Yan-Jun Shi, Xiao-Cong Wang et al. · 0 citations
#edge computing Nov 2026

UAV-Assisted Security-Aware Vehicular Edge Computing: A TD3-Enhanced Scheme

Unmanned aerial vehicles (UAVs) equipped with edge computing capabilities offer a promising solution for the coverage and flexibility of terrestrial networks, but they also face challenges in low-latency, security-aware data transmission. To address this, a UAV-assisted, security-aware vehicular edge computing system i...

Tao Ren, Jun Cui, Xue-Yan Cao et al. · 1 citation
#edge computing Nov 2026

Fair and Efficient Resource Allocation in UAV-Enhanced Edge Computing: A Dual-Layer Auction Approach

With the rapid advancement of Uncrewed Aerial Vehicle (UAV) technology, fleets are increasingly deployed in disaster relief, logistics, and environmental monitoring, necessitating real-time task execution and efficient UAV resource allocation. However, UAVs’ constrained computational and communication capabilities, par...

Li Lin, He-Ming Jiang, Jin-Bo Xiong et al. · 0 citations
#edge computing Nov 2026

An Adaptive Event-Driven Task Migration Strategy for Collaborative Mobile Edge Computing

Collaboration among edge nodes via task migration is a promising solution for mobile edge computing (MEC) to efficiently meet time-varying and spatially unbalanced computing demands with limited resources. However, existing task migration strategies are primarily confined to a discrete-time paradigm, which suffers from...

Qi Jiang, Tho Le-Ngoc, Victor C. M. Leung et al. · 0 citations
#edge computing Nov 2026

Adaptive Hierarchical RAG-Empowered LLM for UAV Scheduling in Multi-Access Edge Computing

The proliferation of Multi-Access Edge Computing (MEC) has led to massive data generation. This imposes complex and dynamic requirements on task scheduling. Conventional Uncrewed Aerial Vehicle (UAV) scheduling methods struggle with task diversity. They lack adaptability to stochastic environments. Large Language Model...

Xiong-Jie Zhou, Xin Guan, Hai-Yang Jiang et al. · 0 citations
#edge computing Nov 2026

Delay-Aware Service Function Chain Embedding and Scheduling in Edge Clouds

Edge Computing (EC) provides low-latency environment for delay-sensitive network services by deploying limited cloud infrastructure at the edge of the network. Network Function Virtualization (NFV) further enhances flexibility by replacing hardware with Virtual Network Functions (VNFs) that can run on general servers....

Wei-Han Chen, Zhi-Liang Wang, Han Zhang et al. · 0 citations
#edge computing Nov 2026

ReSync: Coordinated Live-Migration for Stateful Containers in Mobile Edge Computing

To ensure continuous low-latency service in Mobile Edge Computing (MEC), edge applications must migrate statefully along the user’s mobility path. However, existing migration schemes fail to meet the strict Quality of Service (QoS) requirements of live-serving, time-sensitive MEC applications due to excessive downtime...

Reinhard Scheuer, Yi-Bo Pi, Xu-Dong Wang · 0 citations

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Microsoft Research Blog Oct 21, 2026

Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…

MIT News · Artificial Intelligence Oct 15, 2026

AI model decodes the language cells use to communicate

A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.

Microsoft Research Blog Oct 15, 2026

Proof-based general-purpose computing with Magnetar

Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.

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