A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay in IoT networks
☆11Apr 21, 2021Updated 4 years ago
Alternatives and similar repositories for federated-double-deep-Q_network-
Users that are interested in federated-double-deep-Q_network- are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆21Dec 25, 2020Updated 5 years ago
- ☆12Feb 10, 2021Updated 5 years ago
- Codes for the paper titled Online Joint Task Offloading and Resource Management in Heterogeneous Mobile Edge Environments.☆18Dec 7, 2022Updated 3 years ago
- [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach☆15May 16, 2022Updated 3 years ago
- Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks☆20Apr 20, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- ☆16Sep 7, 2025Updated 6 months ago
- ICC 2022 submit paper code☆27Nov 24, 2023Updated 2 years ago
- ☆12Aug 15, 2020Updated 5 years ago
- Dynamic Task Software Caching-Assisted Computation Offloading for Multi-Access Edge Computing☆11Dec 18, 2022Updated 3 years ago
- Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards☆35Sep 1, 2022Updated 3 years ago
- ☆30Mar 28, 2023Updated 3 years ago
- ☆15Mar 7, 2023Updated 3 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Apr 22, 2024Updated last year
- This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"☆27Jul 2, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆12Aug 24, 2023Updated 2 years ago
- ☆40May 5, 2021Updated 4 years ago
- ☆26Sep 29, 2021Updated 4 years ago
- Portfolio Optimisation is a fundamental problem in Financial Mathematics.The objective of this project is to explore the applicability of…☆13Nov 10, 2020Updated 5 years ago
- ☆36Dec 11, 2022Updated 3 years ago
- Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing☆28Mar 22, 2024Updated 2 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆88May 22, 2023Updated 2 years ago
- FANET optimization to provide network services to remote areas☆10Aug 23, 2022Updated 3 years ago
- Mobility Aware Energy Minimal Task Offloading with Delay Constraints in Mobile Edge Computing Environment☆16Feb 8, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This is the MATLAB based simulation of optimized Vehicular Fog Computing framework that minimizes the latency during the computatin tasks…☆12Jul 11, 2024Updated last year
- ☆16Jul 8, 2025Updated 8 months ago
- ☆14Sep 27, 2019Updated 6 years ago
- The source code and experimental results of RSDQL.☆28Mar 14, 2022Updated 4 years ago
- Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"☆16Mar 3, 2022Updated 4 years ago
- Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding (Findings of EMNLP'23)☆11Aug 24, 2024Updated last year
- ☆14Jul 29, 2023Updated 2 years ago
- code☆14Feb 22, 2023Updated 3 years ago
- ☆21Aug 20, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- The purpose of this project is to implement machine learning methods to study resource allocation problems, that is how to share limited …☆16Jun 7, 2022Updated 3 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆33Sep 16, 2022Updated 3 years ago
- ☆91Jun 6, 2024Updated last year
- [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach☆16May 16, 2022Updated 3 years ago
- Reinforcement Task Scheduling Project☆16Jun 3, 2019Updated 6 years ago
- [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning☆19May 18, 2022Updated 3 years ago
- ☆25Feb 25, 2023Updated 3 years ago