BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services

4 February 2019

Papers citing "BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services"

36 / 36 papers shown

Title
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 42 3 0 25 Mar 2024
Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels Mikolaj Jankowski Deniz Gunduz K. Mikolajczyk 32 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 34 3 0 09 Nov 2023
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing Mohammad Malekzadeh F. Kawsar FedML 37 5 0 20 Oct 2023
SplitEE: Early Exit in Deep Neural Networks with Split Computing Divya J. Bajpai Vivek K. Trivedi S. L. Yadav M. Hanawal 28 5 0 17 Sep 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
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 31 23 0 07 Oct 2022
Privacy-Preserving Feature Coding for Machines Bardia Azizian Ivan V. Bajić 35 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 37 14 0 23 Sep 2022
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing Shoma Shimizu Takayuki Nishio Shota Saito Yoichi Hirose Yen-Hsiu Chen Shinichi Shirakawa 38 3 0 30 Aug 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 19 14 0 24 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 31 7 0 25 Jul 2022
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications Deniz Gunduz Zhijin Qin Iñaki Estella Aguerri Harpreet S. Dhillon Zhaohui Yang Aylin Yener Kai‐Kit Wong C. Chae 32 434 0 19 Jul 2022
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems Luke Chen Mohanad Odema Mohammad Abdullah Al Faruque 32 4 0 18 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 35 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 31 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 26 0 0 08 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 32 41 0 07 Jan 2022
SmartSplit: Latency-Energy-Memory Optimisation for CNN Splitting on Smartphone Environment I. Prakash Aniruddh Bansal Rohit Verma R. Shorey 27 8 0 01 Nov 2021
Progressive Transmission and Inference of Deep Learning Models Youngsoo Lee Sangdoo Yun Yeonghun Kim Sunghee Choi 24 2 0 03 Oct 2021
Task-Oriented Communication for Multi-Device Cooperative Edge Inference Jiawei Shao Yuyi Mao Jun Zhang 24 128 0 01 Sep 2021
Supervised Compression for Resource-Constrained Edge Computing Systems Yoshitomo Matsubara Ruihan Yang Marco Levorato Stephan Mandt 19 58 0 21 Aug 2021
Lightweight Compression of Intermediate Neural Network Features for Collaborative Intelligence R. Cohen Hyomin Choi Ivan V. Bajić 32 23 0 15 May 2021
Lightweight compression of neural network feature tensors for collaborative intelligence R. Cohen Hyomin Choi Ivan V. Bajić 30 42 0 12 May 2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation Juliano S. Assine José Cândido Silveira Santos Filho Eduardo Valle ObjD 55 8 0 03 May 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 45 402 0 05 Apr 2021
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges Yoshitomo Matsubara Marco Levorato Francesco Restuccia 33 199 0 08 Mar 2021
Branchy-GNN: a Device-Edge Co-Inference Framework for Efficient Point Cloud Processing Jiawei Shao Haowei Zhang Yuyi Mao Jun Zhang 3DPC 24 40 0 27 Oct 2020
Pareto-Optimal Bit Allocation for Collaborative Intelligence Saeed Ranjbar Alvar Ivan V. Bajić 16 29 0 25 Sep 2020
Split Computing for Complex Object Detectors: Challenges and Preliminary Results Yoshitomo Matsubara Marco Levorato 51 25 0 27 Jul 2020
Joint Device-Edge Inference over Wireless Links with Pruning Mikolaj Jankowski Deniz Gunduz K. Mikolajczyk 17 5 0 04 Mar 2020
Bit Allocation for Multi-Task Collaborative Intelligence Saeed Ranjbar Alvar Ivan V. Bajić 24 25 0 14 Feb 2020
Back-and-Forth prediction for deep tensor compression Hyomin Choi R. Cohen Ivan V. Bajić 16 28 0 14 Feb 2020
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services Amir Erfan Eshratifar M. Abrishami Massoud Pedram FedML 34 248 0 25 Jan 2018