ricsamikwa / RES-ThingsLinks
Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems
☆13Updated 2 years ago
Alternatives and similar repositories for RES-Things
Users that are interested in RES-Things are comparing it to the libraries listed below
Sorting:
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆72Updated 3 years ago
- ☆32Updated 3 years ago
- ☆96Updated 3 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆18Updated last year
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆172Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆92Updated 3 years ago
- This repository implements FEDL using pytorch☆55Updated 4 years ago
- Investigating Split Learning and Federate Learning☆85Updated 5 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated 2 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 5 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆135Updated 5 years ago
- Releasing the source code Version1.☆171Updated 4 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 4 years ago
- A simulation framework for Federated Learning written in PyTorch☆208Updated 3 years ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 4 years ago
- ☆20Updated 10 months ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 4 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆43Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 9 months ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆113Updated 4 years ago
- ☆17Updated 5 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆176Updated 4 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆282Updated 4 months ago
- On the Convergence of FedAvg on Non-IID Data☆268Updated 2 years ago