Reinforcement Learning Based Energy-Efficient Collaborative Inference for Mobile Edge Computing
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reinforcement Learning Based Energy-Efficient Collaborative Inference for Mobile Edge Computing
Authors
Keywords
-
Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 71, Issue 2, Pages 864-876
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-12-15
DOI
10.1109/tcomm.2022.3229033
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Lead federated neuromorphic learning for wireless edge artificial intelligence
- (2022) Helin Yang et al. Nature Communications
- Multi-Agent DRL-Based Hungarian Algorithm (MADRLHA) for Task Offloading in Multi-Access Edge Computing Internet of Vehicles (IoVs)
- (2022) Md. Zahangir Alam et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Communication-Computation Trade-off in Resource-Constrained Edge Inference
- (2021) Jiawei Shao et al. IEEE COMMUNICATIONS MAGAZINE
- Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation
- (2021) Zezu Liang et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- HiveMind: Towards Cellular Native Machine Learning Model Splitting
- (2021) Song Wang et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- DDPQN: An Efficient DNN Offloading Strategy in Local-Edge-Cloud Collaborative Environments
- (2021) Min Xue et al. IEEE Transactions on Services Computing
- Cooperative Task Offloading and Block Mining in Blockchain-Based Edge Computing With Multi-Agent Deep Reinforcement Learning
- (2021) Dinh C. Nguyen et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- Edge-Assisted Distributed DNN Collaborative Computing Approach for Mobile Web Augmented Reality in 5G Networks
- (2020) Pei Ren et al. IEEE NETWORK
- Optimization for Reinforcement Learning: From a single agent to cooperative agents
- (2020) Donghwan Lee et al. IEEE SIGNAL PROCESSING MAGAZINE
- Computation Offloading Scheduling for Periodic Tasks in Mobile Edge Computing
- (2020) Sladana Josilo et al. IEEE-ACM TRANSACTIONS ON NETWORKING
- Resource Allocation Based on Deep Reinforcement Learning in IoT Edge Computing
- (2020) Xiong Xiong et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Offloading and Resource Allocation With General Task Graph in Mobile Edge Computing: A Deep Reinforcement Learning Approach
- (2020) Jia Yan et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Service Placement and Request Routing in MEC Networks With Storage, Computation, and Communication Constraints
- (2020) Konstantinos Poularakis et al. IEEE-ACM TRANSACTIONS ON NETWORKING
- Reinforcement Learning-Based Mobile Offloading for Edge Computing Against Jamming and Interference
- (2020) Liang Xiao et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Multi-Agent Reinforcement Learning Based Resource Management in MEC- and UAV-Assisted Vehicular Networks
- (2020) Haixia Peng et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Mean-Field-Type Game-Based Computation Offloading in Multi-Access Edge Computing Networks
- (2020) Reginald A. Banez et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications
- (2020) Helin Yang et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning
- (2020) Wen Wu et al. IEEE Transactions on Industrial Informatics
- Device vs Edge Computing for Mobile Services: Delay-Aware Decision Making to Minimize Power Consumption
- (2020) Meysam Masoudi et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- Deep Learning With Edge Computing: A Review
- (2019) Jiasi Chen et al. PROCEEDINGS OF THE IEEE
- Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
- (2019) Zhi Zhou et al. PROCEEDINGS OF THE IEEE
- Efficient Resource Allocation for Mobile-Edge Computing Networks With NOMA: Completion Time and Energy Minimization
- (2019) Zhaohui Yang et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Mobile Edge Intelligence and Computing for the Internet of Vehicles
- (2019) Jun Zhang et al. PROCEEDINGS OF THE IEEE
- Augur: Modeling the Resource Requirements of ConvNets on Mobile Devices
- (2019) Zongqing Lu et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters
- (2018) Zhuoran Zhao et al. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
- Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading
- (2017) Changsheng You et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Deep learning
- (2015) Yann LeCun et al. NATURE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started