edge computing

Edge dynamic matrix control for energy-efficient control of heat distribution system

The dynamic nature of thermal processes means that predictive algorithms are an obvious choice for controlling processes of this type. Unfortunately, the product variability commonly found in real-world processes forces changes in the operating point. This, in turn, forces changes in the controller settings. Unfortunat...

Non-Intrusive Handover Strategy Optimization for Model-Partitioned DNN Inference in Satellite Edge Computing

As Satellite Edge Computing (SEC) emerges as a computing backbone of 6 G IoT, its feasibility is threatened by frequent handovers that disrupt task continuity and cause deadline violations in AI-driven workloads. Conventional communication-centric handover strategies overlook the urgency of computational tasks, further...

E<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>2</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="feng-ieq1-3676689.gif"/></alternatives></inline-formula>LLM: Structure-Guided Efficient Inference for LLMs in Distributed Edge

Large language models (LLMs) are increasingly deployed in edge computing environments to reduce latency and preserve privacy. However, their inference process presents fundamental challenges for resource-constrained IoT devices. LLM inference involves computationally asymmetric stages: parallelizable prompt processing...

Fair Joint Offloading and Consensus Optimization in Blockchain-Enabled Mobile Edge Computing

Blockchain-enabled mobile edge computing (MEC) must jointly optimize task offloading and consensus finality under highly heterogeneous AIoT devices, where latency/energy constraints and fairness-sensitive incentives coexist with time-varying validator reliability. We propose FE-CTDE, a unified framework that couples (1...

Privacy-preserving task offloading with flipped Huber distribution in mobile edge computing

A time-domain compute-in-memory macro with binary-gated dual-edge cell and low-power truncation TDC

Scaling frustration index and balanced state discovery for real signed graphs

An efficient, balanced state discovery heuristic algorithm that will discover the nearest balanced state for any size of the graph network and approximate the frustration of the network is proposed.

A hierarchical federated learning approach based on cloud-fog-edge computing architecture for distributed smart manufacturing systems

Artificial Intelligence for Real-Time Cyber Threat Classification and Emerging Threat Detection: A Structured Review of Methods, Datasets, Challenges, and Research Directions

The reviewed literature indicates that AI-based methodologies often demonstrate superior detection capabilities for intricate and previously unseen attack patterns compared to traditional methods; however, direct performance comparisons are complicated due to discrepancies in datasets, experimental designs, and evaluat...