Imagen de Portada

Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bao, Ziyuan, Kanjo, Eiman, Banerjee, Soumya, Rashid, Hasib-Al, Mohsenin, Tinoosh
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

TinyM$^2$Net-V3: Memory-Aware Compressed Multimodal Deep Neural Networks for Sustainable Edge Deployment
por: Rashid, Hasib-Al, et al.
Publicado: (2024)

Node Learning: A Framework for Adaptive, Decentralised and Collaborative Network Edge AI
por: Kanjo, Eiman, et al.
Publicado: (2026)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
por: Rashid, Hasib-Al, et al.
Publicado: (2024)

A Multicore and Edge TPU-Accelerated Multimodal TinyML System for Livestock Behavior Recognition
por: Zhang, Qianxue, et al.
Publicado: (2025)

A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference
por: Woodward, Kieran, et al.
Publicado: (2025)

TrajAware: Graph Cross-Attention and Trajectory-Aware for Generalisable VANETs under Partial Observations
por: Fu, Xiaolu, et al.
Publicado: (2025)

TinyML for Speech Recognition
por: Barovic, Andrew, et al.
Publicado: (2025)

ATLASv2: LLM-Guided Adaptive Landmark Acquisition and Navigation on the Edge
por: Walczak, Mikolaj, et al.
Publicado: (2025)

Agentic TinyML for Intent-aware Handover in 6G Wireless Networks
por: Saleh, Alaa, et al.
Publicado: (2025)

TinyML-Enabled IoT for Sustainable Precision Irrigation
por: Taueatsoala, Kamogelo, et al.
Publicado: (2026)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
por: Deutel, Mark, et al.
Publicado: (2023)

Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning
por: Shalby, Hazem Hesham Yousef, et al.
Publicado: (2025)

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors
por: Huang, Zhaolan, et al.
Publicado: (2024)

On-device Online Learning and Semantic Management of TinyML Systems
por: Ren, Haoyu, et al.
Publicado: (2024)

StreamTinyNet: video streaming analysis with spatial-temporal TinyML
por: Shalby, Hazem Hesham Yousef, et al.
Publicado: (2024)

Enhancing TinyML Security: Study of Adversarial Attack Transferability
por: Shah, Parin, et al.
Publicado: (2024)

Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies
por: Grover, Utkarsh, et al.
Publicado: (2026)

Optimizing Split Learning Latency in TinyML-Based IoT Systems
por: Jenhani, Zied, et al.
Publicado: (2025)

What changes after deployment? A survey on On-device Learning in TinyML
por: Pavan, Massimo, et al.
Publicado: (2026)

MicroFlow: An Efficient Rust-Based Inference Engine for TinyML
por: Carnelos, Matteo, et al.
Publicado: (2024)

Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?
por: Zeinaty, Christophe El, et al.
Publicado: (2025)

SatReg: Regression-based Neural Architecture Search for Lightweight Satellite Image Segmentation
por: Humes, Edward, et al.
Publicado: (2026)

Integration of TinyML and LargeML: A Survey of 6G and Beyond
por: Vu, Thai-Hoc, et al.
Publicado: (2025)

On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
por: Dehrouyeh, Fatemeh, et al.
Publicado: (2024)

DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
por: Han, Lixiang, et al.
Publicado: (2024)

Consolidating TinyML Lifecycle with Large Language Models: Reality, Illusion, or Opportunity?
por: Wu, Guanghan, et al.
Publicado: (2025)

TinySV: Speaker Verification in TinyML with On-device Learning
por: Pavan, Massimo, et al.
Publicado: (2024)

Optimizing LoRa for Edge Computing with TinyML Pipeline for Channel Hopping
por: Grunewald, Marla, et al.
Publicado: (2024)

DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing
por: Ghanathe, Nikhil P, et al.
Publicado: (2024)

TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems
por: Huckelberry, Jacob, et al.
Publicado: (2024)

Towards Contactless Elevators with TinyML using CNN-based Person Detection and Keyword Spotting
por: Pimpalkar, Anway S., et al.
Publicado: (2024)

A TinyML Reinforcement Learning Approach for Energy-Efficient Light Control in Low-Cost Greenhouse Systems
por: Salem, Mohamed Abdallah, et al.
Publicado: (2025)

TinyML NLP Scheme for Semantic Wireless Sentiment Classification with Privacy Preservation
por: Radwan, Ahmed Y., et al.
Publicado: (2024)

MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems
por: Ponzina, Flavio, et al.
Publicado: (2024)

Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications
por: Banbury, Colby, et al.
Publicado: (2024)

A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption
por: Rüb, Marcus, et al.
Publicado: (2024)

Enabling On-Device Medical AI Assistants via Input-Driven Saliency Adaptation
por: Kallakurik, Uttej, et al.
Publicado: (2025)

TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification
por: Saha, Bidyut, et al.
Publicado: (2024)

Optimizing TinyML: The Impact of Reduced Data Acquisition Rates for Time Series Classification on Microcontrollers
por: Samanta, Riya, et al.
Publicado: (2024)

MedMambaLite: Hardware-Aware Mamba for Medical Image Classification
por: Aalishah, Romina, et al.
Publicado: (2025)