JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services

25 January 2018

Amir Erfan Eshratifar

Papers citing "JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services"

50 / 95 papers shown

Title
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks A. Hojjat Janek Haberer Tayyaba Zainab Olaf Landsiedel 39 3 0 18 Apr 2025
Privacy-Aware Joint DNN Model Deployment and Partition Optimization for Delay-Efficient Collaborative Edge Inference Zhipeng Cheng Xiaoyu Xia Hong Wang Minghui Liwang Ning Chen Xuwei Fan Xianbin Wang 54 0 0 22 Feb 2025
Priority-Aware Model-Distributed Inference at Edge Networks Teng Li Hulya Seferoglu 64 0 0 16 Dec 2024
Optimizing Edge Offloading Decisions for Object Detection Jiaming Qiu Ruiqi Wang Brooks Hu Roch Guérin Chenyang Lu OffRL 24 0 0 24 Oct 2024
Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks Chetna Singhal Yashuo Wu F. Malandrino Sharon Ladron de Guevara Contreras Marco Levorato C. Chiasserini 21 2 0 22 Oct 2024
Learning the Optimal Path and DNN Partition for Collaborative Edge Inference Yin Huang Letian Zhang Jie Xu 18 1 0 02 Oct 2024
A QoE-Aware Split Inference Accelerating Algorithm for NOMA-based Edge Intelligence Xin Yuan Ning Li Quan Chen Wenchao Xu Zhaoxin Zhang Song Guo 24 0 0 25 Sep 2024
Early-Exit meets Model-Distributed Inference at Edge Networks Marco Colocrese Erdem Koyuncu H. Seferoglu 23 2 0 08 Aug 2024
Enhancing Split Computing and Early Exit Applications through Predefined Sparsity Luigi Capogrosso Enrico Fraccaroli Giulio Petrozziello Francesco Setti Samarjit Chakraborty Franco Fummi Marco Cristani 26 3 0 16 Jul 2024
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding Danish Nazir Timo Bartels Jan Piewek Thorsten Bagdonat Tim Fingscheidt 35 0 0 15 Jul 2024
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing Luigi Capogrosso Enrico Fraccaroli Samarjit Chakraborty Franco Fummi Marco Cristani MoE 34 5 0 08 Jul 2024
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 30 0 0 06 May 2024
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems Xiaofei Wang Yunfeng Zhao Chao Qiu Qinghua Hu Victor C. M. Leung 29 6 0 20 Apr 2024
LAECIPS: Large Vision Model Assisted Adaptive Edge-Cloud Collaboration for IoT-based Perception System Shijing Hu Ruijun Deng Xin Du Zhihui Lu Qiang Duan Yi He Shih-Chia Huang Jie Wu VLM 27 3 0 16 Apr 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
Towards Integrated Fine-tuning and Inference when Generative AI meets Edge Intelligence Ning Chen Zhipeng Cheng Xuwei Fan Xiaoyu Xia Lianfen Huang 54 1 0 05 Jan 2024
High Efficiency Inference Accelerating Algorithm for NOMA-based Mobile Edge Computing Xin Yuan Ning Li Tuo Zhang Muqing Li Yuwen Chen José-Fernán Martínez Ortega Song Guo 21 0 0 26 Dec 2023
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
Bridge the Present and Future: A Cross-Layer Matching Game in Dynamic Cloud-Aided Mobile Edge Networks Houyi Qi Minghui Liwang Xianbin Wang Li Li Wei Gong Jian Jin Zhenzhen Jiao 11 6 0 07 Dec 2023
Collaborative Inference in DNN-based Satellite Systems with Dynamic Task Streams Jinglong Guan Qiyang Zhang Ilir Murturi Praveen Kumar Donta Schahram Dustdar Shangguang Wang 26 3 0 10 Nov 2023
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel Training Yuhao Chen Yuxuan Yan Qianqian Yang Yuanchao Shu Shibo He Zhiguo Shi Jiming Chen 32 0 0 10 Nov 2023
AdaMEC: Towards a Context-Adaptive and Dynamically-Combinable DNN Deployment Framework for Mobile Edge Computing Bowen Pang Sicong Liu Hongli Wang Bin Guo Yuzhan Wang Hao Wang Zhenli Sheng Zhongyi Wang Zhiwen Yu 16 2 0 25 Oct 2023
Facial Data Minimization: Shallow Model as Your Privacy Filter Yuwen Pu Jiahao Chen Jiayu Pan Hao li Diqun Yan Xuhong Zhang Shouling Ji PICV 22 1 0 24 Oct 2023
Progressive Neural Compression for Adaptive Image Offloading under Timing Constraints Ruiqi Wang Hanyang Liu Jiaming Qiu Moran Xu Roch Guérin Chenyang Lu 11 3 0 08 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey Sicong Liu Bin Guo Cheng Fang Ziqi Wang Shiyan Luo Zimu Zhou Zhiwen Yu AI4CE 25 22 0 27 Sep 2023
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning Yao Wen GuoPeng Zhang Kezhi Wang Kun Yang FedML 30 3 0 21 Jul 2023
Privacy-preserving Adversarial Facial Features Zhibo Wang He Wang Shuai Jin Wenwen Zhang Jiahui Hu Yan Wang Peng Sun Weiting Yuan Kai-yan Liu Kui Ren CVBM AAML PICV 28 13 0 08 May 2023
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices Di Xu Xiang He Tonghua Su Zhongjie Wang 17 6 0 20 Apr 2023
Hierarchical Training of Deep Neural Networks Using Early Exiting Yamin Sepehri P. Pad A. C. Yüzügüler P. Frossard L. A. Dunbar 26 7 0 04 Mar 2023
DISCO: Distributed Inference with Sparse Communications Minghai Qin Chaowen Sun Jaco A. Hofmann D. Vučinić FedML 25 1 0 22 Feb 2023
Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading Hao Wang Hao Bao Liekang Zeng Ke Luo Xu Chen 3DH 15 1 0 20 Jan 2023
Privacy-Preserving Feature Coding for Machines Bardia Azizian Ivan V. Bajić 16 5 0 03 Oct 2022
I-SPLIT: Deep Network Interpretability for Split Computing Federico Cunico Luigi Capogrosso Francesco Setti D. Carra Franco Fummi Marco Cristani 27 14 0 23 Sep 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 28 7 0 04 Aug 2022
Adaptive Edge Offloading for Image Classification Under Rate Limit Jiaming Qiu Ruiqi Wang Ayan Chakrabarti Roch Guérin Chenyang Lu OffRL 14 13 0 31 Jul 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
T-RECX: Tiny-Resource Efficient Convolutional neural networks with early-eXit N. Ghanathe Steve Wilton 19 10 0 14 Jul 2022
Fault-Tolerant Collaborative Inference through the Edge-PRUNE Framework Jani Boutellier Bo Tan J. Nurmi 16 2 0 16 Jun 2022
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge M. Malka Erez Farhan Hai Morgenstern Nir Shlezinger FedML 15 12 0 07 Jun 2022
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes Saeed Ranjbar Alvar Korcan Uyanik Ivan V. Bajić 16 4 0 03 May 2022
Edge-PRUNE: Flexible Distributed Deep Learning Inference Jani Boutellier Bo Tan J. Nurmi 13 2 0 27 Apr 2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems Xin Dong B. D. Salvo Meng Li Chiao Liu Zhongnan Qu H. T. Kung Ziyun Li 3DGS 21 20 0 10 Apr 2022
C-NMT: A Collaborative Inference Framework for Neural Machine Translation Yukai Chen R. Chiaro Enrico Macii M. Poncino Daniele Jahier Pagliari 18 0 0 08 Apr 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
SC2 Benchmark: Supervised Compression for Split Computing Yoshitomo Matsubara Ruihan Yang Marco Levorato Stephan Mandt 14 18 0 16 Mar 2022
PARIS and ELSA: An Elastic Scheduling Algorithm for Reconfigurable Multi-GPU Inference Servers Yunseong Kim Yujeong Choi Minsoo Rhu 15 15 0 27 Feb 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 27 17 0 21 Feb 2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems Renjie Gu Chaoyue Niu Yikai Yan Fan Wu Shaojie Tang Rongfeng Jia Chengfei Lyu Guihai Chen 14 9 0 24 Jan 2022