Trustworthy DNN partition for blockchain-enabled digital twin in wireless IIoT networks
Sign Up to like & getrecommendations! Published in 2024 at "Science China Information Sciences"
DOI: 10.1007/s11432-024-4159-2
Abstract: Digital twin (DT) has emerged as a promising solution to enhance manufacturing efficiency in industrial Internet of Things (IIoT) networks. To promote the efficiency and trustworthiness of DT for wireless IIoT networks, we propose a… read more here.
Keywords: reputation; dnn; iiot networks; dnn inference ... See more keywords
Ace-Sniper: Cloud–Edge Collaborative Scheduling Framework With DNN Inference Latency Modeling on Heterogeneous Devices
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2023.3314388
Abstract: The cloud–edge collaborative inference requires efficient scheduling of artificial intelligence (AI) tasks to the appropriate edge intelligence devices. Gls DNN inference latency has become a vital basis for improving scheduling efficiency. However, edge devices exhibit… read more here.
Keywords: edge; dnn inference; inference; heterogeneous devices ... See more keywords
Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2021.3125949
Abstract: Mobile Edge Computing (MEC) has emerged as a promising paradigm catering to overwhelming explosions of mobile applications, by offloading compute-intensive tasks to MEC networks for processing. The surging of deep learning brings new vigor and… read more here.
Keywords: delay aware; aware dnn; dnn inference; edge ... See more keywords
Distributed DNN Inference With Fine-Grained Model Partitioning in Mobile Edge Computing Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2024.3357874
Abstract: Model partitioning is a promising technique for improving the efficiency of distributed inference by executing partial deep neural network (DNN) models on edge servers (ESs) or Internet-of-Things (IoT) devices. However, due to heterogeneous resources of… read more here.
Keywords: dnn inference; fine grained; inference; model partitioning ... See more keywords
RCNet: Resilient Collaborative DNN Inference for Wireless Networks With High Packet Loss
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2025.3563980
Abstract: The limited computation resources of mobile devices hinders the real-time Deep Neural Network (DNN) inference, which is critical in many Internet of Things (IoT) applications. To meet the real-time responses demands, the cloud-end collaborative DNN… read more here.
Keywords: high packet; dnn inference; inference; wireless networks ... See more keywords
Coordinated Batching and DVFS for DNN Inference on GPU Accelerators
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3144614
Abstract: Employing hardware accelerators to improve the performance and energy-efficiency of DNN applications is on the rise. One challenge of using hardware accelerators, including the GPU-based ones, is that their performance is limited by internal and… read more here.
Keywords: power; dnn inference; dvfs; dnn ... See more keywords