gjj001 / fine-grained-trust-evaluation-methodLinks
GitHub Desktop tutorial repository
☆12Updated last year
Alternatives and similar repositories for fine-grained-trust-evaluation-method
Users that are interested in fine-grained-trust-evaluation-method are comparing it to the libraries listed below
Sorting:
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆29Updated 3 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- CFR-RL: Traffic Engineering with Reinforcement Learning in SDN☆59Updated 3 years ago
- Trust management model in IoT☆16Updated 3 years ago
- Trust Management for Vehicular Networks☆11Updated 6 years ago
- Hands-on tutorials to help you understand how EdgeSimPy works and how to use it in your research☆20Updated 5 months ago
- TPDS paper, EdgeTB: a Hybrid Testbed for Distributed Machine Learning at the Edge with High Fidelity☆17Updated 3 years ago
- Edge caching simulator☆18Updated 4 years ago
- zhanglinchao1 / DVRC-Heterogeneous-Internet-of-Vehicles-based-on-reputation-consensus-and-federated-learning基于信誉共识和联邦学习的异构车联网交通预测与规划☆12Updated last year
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆19Updated 4 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- Reinforcement Learning (RL)-based routing algorithm for SDN networks created from scratch using Python.☆27Updated 3 years ago
- Virne is a simulator & benchmark for resource allocation (RA) problems in network function virtualization (NFV), i.e., NFV-RA, including …☆133Updated last month
- MEC，Edge service, Edge Application, Service Computing.☆64Updated 3 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆26Updated 4 years ago
- This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).☆135Updated last month
- We will implement this framework.☆32Updated 3 years ago
- [ICC'21 - DRL-SFCP] Implementation of our paper "DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning", …☆35Updated 2 months ago
- Mitigating Routing Update Overhead for Traffic Engineering by Combining Destination-based Routing with Reinforcement Learning☆13Updated 2 years ago
- Edge server, user dataset for Edge Computing research☆387Updated last year
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆279Updated 2 months ago
- Asynchronous Federated Learning☆46Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆75Updated 2 years ago
- ☆14Updated last year
- ☆56Updated 4 years ago
- ☆30Updated 2 years ago
- Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.☆120Updated 4 years ago
- DRL-M4MR: An intelligent multicast routing approach based on DQN deep reinforcement learning in SDN☆62Updated 7 months ago
- ☆15Updated 3 years ago
- TareqTayeh / AROM-DRL_Adaptive-Routing-Optimization-for-QoS-aware-SDNs-using-Deep-Reinforcement-LearningThe purpose of this project is to introduce an Adaptive RO Model for QoS-aware SDNs using DRL that dynamically considers various QoS para…☆59Updated 4 years ago