Distributed Deep Neural Networks over the Cloud, the Edge and End Devices

6 September 2017

Surat Teerapittayanon

Papers citing "Distributed Deep Neural Networks over the Cloud, the Edge and End Devices"

50 / 95 papers shown

Title
HybridServe: Efficient Serving of Large AI Models with Confidence-Based Cascade Routing Leyang Xue Yao Fu Luo Mai Mahesh K. Marina 24 0 0 18 May 2025
Onboard Optimization and Learning: A Survey Monirul Islam Pavel Siyi Hu Mahardhika Pratama Ryszard Kowalczyk 36 0 0 07 May 2025
PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization Assaf Lahiany Yehudit Aperstein 35 4 0 07 Jan 2025
A Survey of Distributed Learning in Cloud, Mobile, and Edge Settings Madison Threadgill A. Gerstlauer 49 1 0 23 May 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 41 0 0 06 May 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 45 3 0 25 Mar 2024
Combining Cloud and Mobile Computing for Machine Learning Ruiqi Xu Tianchi Zhang 47 1 0 20 Jan 2024
Mobility and Cost Aware Inference Accelerating Algorithm for Edge Intelligence Xin Yuan Ning Li Kang Wei Wenchao Xu Quan Chen Hao Chen Song Guo 41 0 0 27 Dec 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 31 0 0 11 Jul 2023
LLHR: Low Latency and High Reliability CNN Distributed Inference for Resource-Constrained UAV Swarms Marwan Dhuheir A. Erbad Sinan Sabeeh 27 4 0 25 May 2023
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices Di Xu Xiang He Tonghua Su Zhongjie Wang 32 6 0 20 Apr 2023
Model Extraction Attacks on Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Li Yang Zhezhi He Deliang Fan C. Chakrabarti FedML 65 5 0 13 Mar 2023
Hierarchical Training of Deep Neural Networks Using Early Exiting Yamin Sepehri P. Pad A. C. Yüzügüler P. Frossard L. A. Dunbar 36 9 0 04 Mar 2023
DISCO: Distributed Inference with Sparse Communications Minghai Qin Chaowen Sun Jaco A. Hofmann D. Vučinić FedML 27 1 0 22 Feb 2023
Adaptive Deep Neural Network Inference Optimization with EENet Fatih Ilhan Ka-Ho Chow Sihao Hu Tiansheng Huang Selim Tekin ... Myungjin Lee Ramana Rao Kompella Hugo Latapie Gan Liu Ling Liu 43 11 0 15 Jan 2023
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks Fadhel Ayed Antonio De Domenico A. García‐Rodríguez David López-Pérez 19 4 0 12 Jan 2023
An Ensemble Mobile-Cloud Computing Method for Affordable and Accurate Glucometer Readout Navidreza Asadi M. Goudarzi 22 1 0 04 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics Yahao Ding Zhaohui Yang Viet Quoc Pham Zhaoyang Zhang M. Shikh-Bahaei 36 32 0 03 Jan 2023
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 26 31 0 16 Dec 2022
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative Using Differential Privacy Yulong Wang Xingshu Chen Qixu Wang FedML 32 3 0 13 Dec 2022
The Future of Consumer Edge-AI Computing Stefanos Laskaridis Stylianos I. Venieris Alexandros Kouris Rui Li Nicholas D. Lane 49 9 0 19 Oct 2022
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning Tinghao Zhang Zhijun Li Yongrui Chen Kwok-Yan Lam Jun Zhao 15 4 0 11 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 42 8 0 27 Sep 2022
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 30 12 0 27 Aug 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning O. Odeyomi Olubiyi O. Akintade T. Olowu G. Záruba AILaw 3DV AI4TS 25 1 0 16 Aug 2022
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications A. Kanduri Sina Shahhosseini Emad Kasaeyan Naeini Hamid Alikhani P. Liljeberg N. Dutt Amir M. Rahmani 38 7 0 04 Aug 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 29 56 0 01 Aug 2022
Implementation Of Tiny Machine Learning Models On Arduino 33 BLE For Gesture And Speech Recognition V. Viswanatha Ramachandra A.C R. Prasanna Prem Chowdary Kakarla PJ VivekaSimha Nishanth Mohan 17 15 0 23 Jul 2022
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device Chuntao Ding Zhichao Lu F. Xu Vishnu Boddeti Yidong Li Jiannong Cao 27 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 38 49 0 16 Jul 2022
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework Jani Boutellier Bo Tan J. Nurmi 26 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 27 21 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 18 31 0 21 May 2022
Edge-PRUNE: Flexible Distributed Deep Learning Inference Jani Boutellier Bo Tan J. Nurmi 23 2 0 27 Apr 2022
CONTINUER: Maintaining Distributed DNN Services During Edge Failures A. Majeed Peter Kilpatrick I. Spence Blesson Varghese 21 0 0 25 Apr 2022
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks Sina Shahhosseini Dongjoo Seo A. Kanduri Tianyi Hu Sung-Soo Lim Bryan Donyanavard Amir M.Rahmani N. Dutt 35 17 0 21 Feb 2022
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators Lois Orosa Skanda Koppula Yaman Umuroglu Konstantinos Kanellopoulos Juan Gómez Luna Michaela Blott K. Vissers O. Mutlu 46 4 0 04 Feb 2022
DistrEdge: Speeding up Convolutional Neural Network Inference on Distributed Edge Devices Xueyu Hou Yongjie Guan Tao Han Ning Zhang 24 41 0 03 Feb 2022
DEFER: Distributed Edge Inference for Deep Neural Networks Arjun Parthasarathy Bhaskar Krishnamachari 24 14 0 18 Jan 2022
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision Rui Han Qinglong Zhang C. Liu Guoren Wang Jian Tang L. Chen 21 44 0 18 Dec 2021
JMSNAS: Joint Model Split and Neural Architecture Search for Learning over Mobile Edge Networks Yuqing Tian Zhaoyang Zhang Zhaohui Yang Qianqian Yang 19 18 0 16 Nov 2021
ParaDiS: Parallelly Distributable Slimmable Neural Networks A. Ozerov Anne Lambert S. Kumaraswamy UQCV MoE 37 1 0 06 Oct 2021
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning Adarsh Kosta Malik Aqeel Anwar Priyadarshini Panda A. Raychowdhury Kaushik Roy 13 4 0 16 Sep 2021
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems Yinghan Long I. Chakraborty G. Srinivasan Kaushik Roy 30 14 0 14 Sep 2021
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices Chulhong Min Akhil Mathur Utku Günay Acer A. Montanari F. Kawsar 30 11 0 08 Sep 2021
Adaptive Anomaly Detection for Internet of Things in Hierarchical Edge Computing: A Contextual-Bandit Approach Mao V. Ngo Tie-Mei Luo Tony Q.S. Quek 30 14 0 09 Aug 2021
Efficient Real-Time Image Recognition Using Collaborative Swarm of UAVs and Convolutional Networks Marwan Dhuheir Emna Baccour A. Erbad Sinan Sabeeh Mounir Hamdi 23 17 0 09 Jul 2021
On-edge Multi-task Transfer Learning: Model and Practice with Data-driven Task Allocation Zimu Zheng Qiong Chen Chuang Hu Dan Wang Fangming Liu 29 67 0 06 Jul 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 29 42 0 25 May 2021
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration Yao Chen Cole Hawkins Kaiqi Zhang Zheng-Wei Zhang Cong Hao 26 8 0 11 May 2021