SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud

14 August 2020

Stefanos Laskaridis

Stylianos I. Venieris

Papers citing "SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud"

38 / 38 papers shown

Title
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks A. Hojjat Janek Haberer Tayyaba Zainab Olaf Landsiedel 37 3 0 18 Apr 2025
Janus: Collaborative Vision Transformer Under Dynamic Network Environment Linyi Jiang Silvery Fu Yifei Zhu Bo Li ViT 141 0 0 14 Feb 2025
AI-Powered Urban Transportation Digital Twin: Methods and Applications Xuan Di Yongjie Fu Mehmet K.Turkcan Mahshid Ghasemi Zhaobin Mo Chengbo Zang Abhishek Adhikari Z. Kostić Gil Zussman AI4CE 31 0 0 30 Dec 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 28 0 0 06 May 2024
Tiny Models are the Computational Saver for Large Models Qingyuan Wang B. Cardiff Antoine Frappé Benoît Larras Deepu John 29 2 0 26 Mar 2024
On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Emad Fallahzadeh Bram Adams Ahmed E. Hassan MQ 32 3 0 25 Mar 2024
SAWEC: Sensing-Assisted Wireless Edge Computing Khandaker Foysal Haque Francesca Meneghello Md. Ebtidaul Karim Francesco Restuccia 36 1 0 15 Feb 2024
Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI Kai Huang Wei Gao 15 35 0 21 Dec 2023
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment Jing Wu Lin Wang Qirui Jin Fangming Liu 23 11 0 17 Dec 2023
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables Taesik Gong S. Jang Utku Günay Acer F. Kawsar Chulhong Min 33 2 0 11 Dec 2023
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models Yucheng Ding Chaoyue Niu Fan Wu Shaojie Tang Chengfei Lyu Guihai Chen 20 6 0 18 Mar 2023
An Ensemble Mobile-Cloud Computing Method for Affordable and Accurate Glucometer Readout Navidreza Asadi M. Goudarzi 14 1 0 04 Jan 2023
Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing Tian Dong Ziyuan Zhang Han Qiu Tianwei Zhang Hewu Li T. Wang AAML 18 6 0 22 Dec 2022
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization Zhiying Xu H. Peng Wei Wang GNN 18 3 0 02 Dec 2022
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 29 14 0 01 Dec 2022
The Future of Consumer Edge-AI Computing Stefanos Laskaridis Stylianos I. Venieris Alexandros Kouris Rui Li Nicholas D. Lane 37 8 0 19 Oct 2022
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs Alexandros Kouris Stylianos I. Venieris Stefanos Laskaridis Nicholas D. Lane 30 8 0 27 Sep 2022
Unsupervised Early Exit in DNNs with Multiple Exits U. HariNarayanN M. Hanawal Avinash Bhardwaj 29 10 0 20 Sep 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 19 56 0 01 Aug 2022
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device Chuntao Ding Zhichao Lu F. Xu Vishnu Naresh Boddeti Yidong Li Jiannong Cao 19 14 0 20 Jul 2022
A Survey on Collaborative DNN Inference for Edge Intelligence Weiqing Ren Yuben Qu Chao Dong Yuqian Jing Hao Sun Qihui Wu Song Guo 28 49 0 16 Jul 2022
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework Jani Boutellier Bo Tan J. Nurmi 8 2 0 16 Jun 2022
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference Xiangjie Li Chen Lou Zhengping Zhu Yuchi Chen Yingtao Shen Yehan Ma An Zou 22 20 0 09 Jun 2022
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments Shreshth Tuli G. Casale N. Jennings 14 31 0 21 May 2022
ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence Luhui Wang Cong Zhao Shusen Yang Xinyu Yang Julie McCann 25 1 0 24 Mar 2022
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing Yoshitomo Matsubara Davide Callegaro Sameer Singh Marco Levorato Francesco Restuccia 17 41 0 07 Jan 2022
Boosting Mobile CNN Inference through Semantic Memory Yun Li Chen Zhang S. Han Li Lyna Zhang B. Yin Yunxin Liu Mengwei Xu ObjD 39 16 0 05 Dec 2021
FTPipeHD: A Fault-Tolerant Pipeline-Parallel Distributed Training Framework for Heterogeneous Edge Devices Yuhao Chen Qianqian Yang Shibo He Zhiguo Shi Jiming Chen 8 3 0 06 Oct 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild Mario Almeida Stefanos Laskaridis Abhinav Mehrotra L. Dudziak Ilias Leontiadis Nicholas D. Lane HAI 101 44 0 28 Sep 2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems Yinghan Long I. Chakraborty G. Srinivasan Kaushik Roy 14 14 0 14 Sep 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI Amin Banitalebi-Dehkordi Naveen Vedula J. Pei Fei Xia Lanjun Wang Yong Zhang 22 89 0 30 Aug 2021
OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices Stylianos I. Venieris Ioannis Panopoulos I. Venieris 40 14 0 08 Jun 2021
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device Mario Almeida Stefanos Laskaridis Stylianos I. Venieris Ilias Leontiadis Nicholas D. Lane 13 36 0 20 Apr 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 22 199 0 08 Mar 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 63 29 0 02 Feb 2021
HAPI: Hardware-Aware Progressive Inference Stefanos Laskaridis Stylianos I. Venieris Hyeji Kim Nicholas D. Lane 9 45 0 10 Aug 2020
ALERT: Accurate Learning for Energy and Timeliness Chengcheng Wan M. Santriaji E. Rogers H. Hoffmann Michael Maire Shan Lu AI4CE 27 40 0 31 Oct 2019
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 311 1,047 0 10 Feb 2017