BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems

31 October 2019

Jiawei Shao

Papers citing "BottleNet++: An End-to-End Approach for Feature Compression in Device-Edge Co-Inference Systems"

30 / 30 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
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models Xubin Wang Zhiqing Tang Jianxiong Guo Tianhui Meng Chenhao Wang Tian-sheng Wang Weijia Jia 52 1 0 08 Mar 2025
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices Romina Soledad Molina Vukan Ninkovic D. Vukobratović Maria Liz Crespo Marco Zennaro 40 0 0 12 Feb 2025
Embedded Distributed Inference of Deep Neural Networks: A Systematic Review Federico Nicolás Peccia Oliver Bringmann 36 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 34 3 0 25 Mar 2024
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels Mikolaj Jankowski Deniz Gunduz K. Mikolajczyk 24 3 0 29 Nov 2023
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency Akrit Mudvari Antero Vainio Iason Ofeidis Sasu Tarkoma Leandros Tassiulas 24 3 0 09 Nov 2023
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting Hai Wu Qunsong Zeng Kaibin Huang 24 7 0 28 Jul 2023
Attention-based Feature Compression for CNN Inference Offloading in Edge Computing Nana Li Alexandros Iosifidis Qi Zhang 17 8 0 24 Nov 2022
Over-the-Air Split Machine Learning in Wireless MIMO Networks YuZhi Yang Zhaoyang Zhang Yuqing Tian Zhaohui Yang Chongwen Huang C. Zhong Kai‐Kit Wong 26 23 0 07 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
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing Parual Datta Nilesh A. Ahuja V. Somayazulu Omesh Tickoo 16 13 0 24 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 19 56 0 01 Aug 2022
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning Cheng-Yen Hsieh Yu-Chuan Chuang An-Yeu A. Wu 23 7 0 25 Jul 2022
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning Zhiwei Hao Guanyu Xu Yong Luo Han Hu Jianping An Shiwen Mao 24 22 0 24 May 2022
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments Shreshth Tuli G. Casale N. Jennings 16 31 0 21 May 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
BottleFit: Learning Compressed Representations in Deep Neural Networks for Effective and Efficient Split Computing Yoshitomo Matsubara Davide Callegaro Sameer Singh Marco Levorato Francesco Restuccia 19 41 0 07 Jan 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 34 416 0 24 Nov 2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference Jiawei Shao Yuyi Mao Jun Zhang 20 128 0 01 Sep 2021
Supervised Compression for Resource-Constrained Edge Computing Systems Yoshitomo Matsubara Ruihan Yang Marco Levorato Stephan Mandt 19 56 0 21 Aug 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation Juliano S. Assine José Cândido Silveira Santos Filho Eduardo Valle ObjD 42 8 0 03 May 2021
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems Shohei Enomoto Takeharu Eda UQCV 46 17 0 15 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 35 401 0 05 Apr 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 24 199 0 08 Mar 2021
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach Jiawei Shao Yuyi Mao Jun Zhang 44 212 0 08 Feb 2021
Branchy-GNN: a Device-Edge Co-Inference Framework for Efficient Point Cloud Processing Jiawei Shao Haowei Zhang Yuyi Mao Jun Zhang 3DPC 16 40 0 27 Oct 2020
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding David Burth Kurka Deniz Gündüz 8 119 0 26 Sep 2020
Split Computing for Complex Object Detectors: Challenges and Preliminary Results Yoshitomo Matsubara Marco Levorato 38 24 0 27 Jul 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020