ShiehShieh / FedKL
☆11Updated last year
Alternatives and similar repositories for FedKL:
Users that are interested in FedKL are comparing it to the libraries listed below
- ☆13Updated last year
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆39Updated 11 months ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆36Updated 11 months ago
- ☆11Updated 4 years ago
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆10Updated 2 years ago
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆12Updated last year
- Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International C…☆16Updated last year
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- ☆16Updated 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
- 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
- [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning☆16Updated 2 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆34Updated 3 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
- A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay …☆10Updated 3 years ago
- ☆27Updated 2 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- ☆23Updated last year
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆32Updated last year
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆58Updated 3 years ago
- Federated Reinforcement Learning project☆27Updated 2 years ago
- Publication catalog for research on Federated RL (FRL).☆79Updated 3 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆16Updated 3 years ago
- Federated Learning over Wireless Networks☆46Updated 3 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆92Updated 2 years ago
- This is the code for paper “accelerating communication-efficient federated multi-task learning with personalization and Fairness”. Besid…☆10Updated 10 months ago
- Adaptive Offloading of Federated Learning on IoT Devices☆73Updated 2 years ago
- 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
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆19Updated 3 years ago
- ☆67Updated last year