bourbonut / reinforcedFL
Federated Reinforcement Learning project
☆27Updated 2 years ago
Alternatives and similar repositories for reinforcedFL:
Users that are interested in reinforcedFL are comparing it to the libraries listed below
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆41Updated last year
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆32Updated last year
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆10Updated 2 years ago
- ☆44Updated 3 years ago
- Publication catalog for research on Federated RL (FRL).☆79Updated 3 years ago
- ☆11Updated 4 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆74Updated 2 years ago
- ☆67Updated last year
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆20Updated 4 years ago
- hizircanbayram / FeDQN-A-Federated-Learning-Approach-for-Training-Reinforcement-Learning-Agent-of-Atari-GamesFeDQN is a federated pipeline for training reinforcement learning agent of atari game, the Pong, developed during my first semester at Is…☆24Updated 3 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆39Updated 2 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆36Updated last year
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆81Updated last year
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆15Updated last year
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆25Updated 4 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆92Updated 2 years ago
- ☆13Updated last year
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆94Updated 3 weeks ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆40Updated last year
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆34Updated 3 years ago
- Federated Learning over Wireless Networks☆47Updated 3 years ago
- ☆65Updated 3 years ago
- Apply Deep Reinforcement Learning aided by Federated Learning to Wireless Comunication☆114Updated 4 years ago
- ☆17Updated 4 years ago
- Federated learning client selection☆19Updated 2 years ago
- ☆28Updated 2 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆57Updated 4 years ago
- Active Client Selection for Federated Learning☆47Updated 2 years ago
- A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protoco…☆27Updated 4 years ago