edge computing

torch-fem

Added IsotropicDamage1D, IsotropicDamagePlaneStrain and IsotropicDamagePlaneStress, so a Truss and a Planar model can carry damage. Under plane stress the out-of-plane strain follows the in-plane one and contributes to the tangent. TransverseIsotropicElasticityPlaneStress and TransverseIsotropicElasticityPlaneStrain, s...

Source Code for Federated Edge Learning over Optical-UAV Access Links with Deterministic-Payload Compression and Packetized Scheduling

This code-only package accompanies the manuscript “Federated Edge Learning over Optical-UAV Access Links With Deterministic-Payload Compression and Packetized Scheduling.”The software implements static mixed-resolution compression with error feedback (SMR-EF) and PacketFair scheduling for simulated federated learning o...

Federated Learning with Spiking Neural Networks: A Lightweight and Privacy-Preserving Framework for Edge Intelligence

Federated Learning (FL) enables privacy-preserving distributed machine learning by keeping raw data local. However, conventional Artificial Neural Networks (ANNs) impose high computational and energy costs. Spiking Neural Networks (SNNs), inspired by biological neurons, provide energy-efficient computation via sparse s...

Self-organizing memristive networks as physical learning systems

Graph neural network-based service migration decision in vehicular networks

The rapid development of the Internet of Vehicles (IoV) has led to an exponential increase in the number of latency sensitive and computationally intensive tasks. Due to the limitations of onboard computing resources in vehicles, offloading these tasks generated during vehicle operation to a remote cloud for processi...

Machine learning and remote sensing for smallholder precision agriculture in Ethiopia

While machine learning (ML) and remote sensing (RS) are frequently heralded as the definitive solutions for agricultural resilience in Sub-Saharan Africa, a profound ‘implementation gap’ persists between laboratory-validated computational maturity and field-level utility for smallholder farmers. This systematic review,...

Enabling Technologies

Ambient Intelligence (AmI) is a new vision of human–technology interaction enabling digital environments to be reactive, adaptable, and attentive to the needs of individuals. The symbiotic complementary roles of four facilitating technologies Internet of Things (IoT), Artificial Intelligence (AI), Edge Computing, and C...

A unified unsupervised framework of multi-modal image super resolution and fusion via implicit neural representation

With the rise of dual-mode therapy and imaging, it is still challenging to accurately and precisely monitor structural organs during therapy. We present a self-supervised implicit neural representation (INR) framework to solve multi-modal image super resolution (MIR) and image fusion (MIF) for image guidance in therapy...

A self-powered and self-sensing multi-joint wearable energy harvester with lightweight edge-deployable CNN for real-time lower-limb kinematics and motion mode recognition

With the global aging population, continuous monitoring of daily activities is increasingly important for rehabilitation and health assessment. However, conventional wearable devices are plagued by insufficient energy self-sufficiency, limiting their practical application in long-term activity monitoring. In this work,...

GAN-Assisted joint computation-communication slice orchestration for 5 G/6 G cloud-edge networks

Network slicing and multi-access edge computing (MEC) require coordinated bandwidth and edge-computing allocation under bursty demand. This paper presents Generative Adversarial Network (GAN)-assisted Joint Computation-Communication Slice Orchestration (GAN-JCSO), which combines conditional demand sampling with queue c...

A Survey of Fault Tolerance Techniques in Distributed Computing Environments

Distributed computing platforms underpin modern cloud services, edge computing deployments, and high-performance computing systems. As these systems scale and become increasingly heterogeneous, failures such as hardware faults, software defects, network partitions, and transient errors become unavoidable. Fault toleran...

ElastoGraph: An Open-Source Algorithmic Framework for the Topological Assessment of Molecular Stiffness Applied to Polysaccharide Networks

The prediction of mechanical properties at the molecular scale relies on matrix-based approaches, such as the diagonalization of large Hessian matrices in elastic network models (ENMs) or molecular dynamics (MD) simulations. These methods exhibit O(N3) computational complexity and map molecular connectivity to macrosco...