niwanli / SemiFL_IoTLinks
☆13Updated last year
Alternatives and similar repositories for SemiFL_IoT
Users that are interested in SemiFL_IoT are comparing it to the libraries listed below
Sorting:
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆35Updated 3 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 2 years ago
- ☆16Updated 2 years ago
- ☆28Updated 2 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆33Updated last year
- ☆11Updated 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
- ☆14Updated 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
- ☆25Updated last year
- ☆10Updated 6 months ago
- ☆11Updated 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…☆26Updated 4 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆43Updated last year
- paper: GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems, to appear in IEEE TWC☆9Updated last year
- ☆68Updated 2 years ago
- Federated Reinforcement Learning project☆28Updated 2 years ago
- Digital-twin Network Service Pre-migration Scheme for Vehicular Edge Computing☆24Updated last year
- This is a repository for the implementation of the paper "Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient…☆14Updated last year
- ☆66Updated 3 years ago
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 2 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆81Updated 2 years ago
- ☆11Updated 4 years ago
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆10Updated 2 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆75Updated 2 years ago
- A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay …☆11Updated 4 years ago
- We will implement this framework.☆32Updated 3 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
- Federated Learning over Wireless Networks☆46Updated 3 years ago