Cover Image

Machine Intelligence on Wireless Edge Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vadlamani, Sri Krishna, Sulimany, Kfir, Gao, Zhihui, Chen, Tingjun, Englund, Dirk
Format:	Preprint
Published:	2025
Subjects:	Emerging Technologies Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Disaggregated Deep Learning via In-Physics Computing at Radio Frequency
by: Gao, Zhihui, et al.
Published: (2025)

QAMNet: Fast and Efficient Optical QAM Neural Networks
by: Bacvanski, Marc Gong, et al.
Published: (2024)

Towards the Information-Theoretic Limit of Programmable Photonics
by: Hamerly, Ryan, et al.
Published: (2024)

Quantum-secure multiparty deep learning
by: Sulimany, Kfir, et al.
Published: (2024)

Sense Less, Infer More: Agentic Multimodal Transformers for Edge Medical Intelligence
by: Zhou, Chengwei, et al.
Published: (2026)

Metasurfaces-Integrated Wireless Neural Networks for Lightweight Over-The-Air Edge Inference
by: Stylianopoulos, Kyriakos, et al.
Published: (2026)

A novel RF-enabled Non-Destructive Inspection Method through Machine Learning and Programmable Wireless Environments
by: Tsimpoukis, Stavros, et al.
Published: (2026)

RF-Photonic Deep Learning Processor with Shannon-Limited Data Movement
by: Davis III, Ronald, et al.
Published: (2022)

Integrating Stacked Intelligent Metasurfaces and Power Control for Dynamic Edge Inference via Over-The-Air Neural Networks
by: Stylianopoulos, Kyriakos, et al.
Published: (2025)

Adaptive Semantic Token Communication for Transformer-based Edge Inference
by: Devoto, Alessio, et al.
Published: (2025)

Trustworthy Tree-based Machine Learning by $MoS_2$ Flash-based Analog CAM with Inherent Soft Boundaries
by: Wen, Bo, et al.
Published: (2025)

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net
by: Takaghaj, Sanaz Mahmoodi
Published: (2024)

NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs
by: Qin, Ruiyang, et al.
Published: (2024)

Road User Classification from High-Frequency GNSS Data Using Distributed Edge Intelligence
by: Köpper, Lennart, et al.
Published: (2024)

Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems
by: Hamakawa, Yohei, et al.
Published: (2025)

Machine Learning Applications of Quantum Computing: A Review
by: Nguyen, Thien, et al.
Published: (2024)

Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models
by: Tudisco, Antonio, et al.
Published: (2025)

The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks
by: Chou, Shih-Kai, et al.
Published: (2024)

Enhancing Reliability of Neural Networks at the Edge: Inverted Normalization with Stochastic Affine Transformations
by: Ahmed, Soyed Tuhin, et al.
Published: (2024)

Programmable k-local Ising Machines and all-optical Kolmogorov-Arnold Networks on Photonic Platforms
by: Stroev, Nikita, et al.
Published: (2025)

Generation of Optimized Solidity Code for Machine Learning Models using LLMs
by: Sham, Nikumbh Sarthak, et al.
Published: (2025)

Affordable Precision Agriculture: A Deployment-Oriented Review of Low-Cost, Low-Power Edge AI and TinyML for Resource-Constrained Farming Systems
by: Samanta, Riya, et al.
Published: (2026)

Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays
by: Ti, Changpeng, et al.
Published: (2024)

Machine Learning Models for Predicting Smoking-Related Health Decline and Disease Risk
by: Chakma, Vaskar, et al.
Published: (2025)

IMPLY-based Approximate Full Adders for Efficient Arithmetic Operations in Image Processing and Machine Learning
by: Qiu, Melanie, et al.
Published: (2024)

OmniBuds: A Sensory Earable Platform for Advanced Bio-Sensing and On-Device Machine Learning
by: Montanari, Alessandro, et al.
Published: (2024)

Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks
by: Stylianopoulos, Kyriakos, et al.
Published: (2025)

On Optimizing Hyperparameters for Quantum Neural Networks
by: Herbst, Sabrina, et al.
Published: (2024)

An Automated Machine Learning Approach to Inkjet Printed Component Analysis: A Step Toward Smart Additive Manufacturing
by: Sahu, Abhishek, et al.
Published: (2024)

Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks
by: Mai, Weiming, et al.
Published: (2025)

Exploring the Potential of Spiking Neural Networks in UWB Channel Estimation
by: Zhang, Youdong, et al.
Published: (2025)

Thermodynamics-Inspired Computing with Oscillatory Neural Networks for Inverse Matrix Computation
by: Tsormpatzoglou, George, et al.
Published: (2025)

Neural CRNs: A Natural Implementation of Learning in Chemical Reaction Networks
by: Nagipogu, Rajiv Teja, et al.
Published: (2024)

Device Modeling Bias in ReRAM-based Neural Network Simulations
by: Yousuf, Osama, et al.
Published: (2022)

1-bit Quantized On-chip Hybrid Diffraction Neural Network Enabled by Authentic All-optical Fully-connected Architecture
by: Shao, Yu, et al.
Published: (2024)

Scalable Digital Compute-in-Memory Ising Machines for Robustness Verification of Binary Neural Networks
by: Vadlamani, Madhav, et al.
Published: (2026)

Clustering Guided Residual Neural Networks for Multi-Tx Localization in Molecular Communications
by: Sonmez, Ali, et al.
Published: (2025)

Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming
by: Sharma, Aasish Kumar, et al.
Published: (2025)

StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
by: Lin, Jiaqi, et al.
Published: (2025)

Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
by: Ji, Xiaoyang, et al.
Published: (2024)