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:
- This repository implements FEDL using pytorch☆56Updated 5 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆94Updated 3 years ago
- ☆32Updated 3 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆23Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 6 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆137Updated 5 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆18Updated last year
- Releasing the source code Version1.☆173Updated 4 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☆175Updated 2 years ago
- ☆20Updated 3 years ago
- A simulation framework for Federated Learning written in PyTorch☆206Updated 3 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆42Updated 2 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- Investigating Split Learning and Federate Learning☆86Updated 5 years ago
- ☆96Updated 4 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆43Updated 4 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- Federated learning with model quantization☆16Updated 3 years ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 4 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆39Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- ☆17Updated 5 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- ☆20Updated 11 months ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆53Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆114Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆119Updated 5 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago