Related references
Note: Only part of the references are listed.Non-cooperative game algorithms for computation offloading in mobile edge computing environments
Jianguo Chen et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2023)
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
Mohammed Jouhari et al.
IEEE INTERNET OF THINGS JOURNAL (2022)
Partitioning DNNs for Optimizing Distributed Inference Performance on Cooperative Edge Devices: A Genetic Algorithm Approach
Jun Na et al.
APPLIED SCIENCES-BASEL (2022)
Pyramid: Enabling Hierarchical Neural Networks with Edge Computing
Qiang He et al.
PROCEEDINGS OF THE ACM WEB CONFERENCE 2022 (WWW'22) (2022)
Mobility-Included DNN Partition Offloading from Mobile Devices to Edge Clouds
Xianzhong Tian et al.
SENSORS (2021)
Joint Optimization With DNN Partitioning and Resource Allocation in Mobile Edge Computing
Chongwu Dong et al.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT (2021)
Joint Multiuser DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence
Xin Tang et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
An Energy-Efficient Fine-Grained Deep Neural Network Partitioning Scheme for Wireless Collaborative Fog Computing
Emre Kilcioglu et al.
IEEE ACCESS (2021)
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
En Li et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2020)
Distributed Inference Acceleration with Adaptive DNN Partitioning and Offloading
Thaha Mohammed et al.
IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (2020)
Partition Pruning: Parallelization-Aware Pruning for Dense Neural Networks
Sina Shahhosseini et al.
2020 28TH EUROMICRO INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND NETWORK-BASED PROCESSING (PDP 2020) (2020)
Joint DNN Partition Deployment and Resource Allocation for Delay-Sensitive Deep Learning Inference in IoT
Wenchen He et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
AAIoT: Accelerating Artificial Intelligence in IoT Systems
Jingyue Zhou et al.
IEEE WIRELESS COMMUNICATIONS LETTERS (2019)
Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things
Liekang Zeng et al.
IEEE NETWORK (2019)
ADDA: Adaptive Distributed DNN Inference Acceleration in Edge Computing Environment
Huitian Wang et al.
2019 IEEE 25TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS) (2019)
DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters
Zhuoran Zhao et al.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS (2018)
Real-Time Image Recognition Using Collaborative IoT Devices
Ramyad Hadidi et al.
1ST ACM REQUEST WORKSHOP/TOURNAMENT ON REPRODUCIBLE SOFTWARE/HARDWARE CO-DESIGN OF PARETO-EFFICIENT DEEP LEARNING (2018)
The cascading neural network: building the Internet of Smart Things
Sam Leroux et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2017)
Energy-Efficient and Improved Image Recognition with Conditional Deep Learning
Priyadarshini Panda et al.
ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS (2017)
Share Paper
