UbiquitousLearning / End2end-Federated-Learning
A demo of end-to-end federated learning system.
☆68Updated 2 years ago
Alternatives and similar repositories for End2end-Federated-Learning:
Users that are interested in End2end-Federated-Learning are comparing it to the libraries listed below
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- Our unique contributions are in tools/train/benchmark.☆19Updated last year
- ☆43Updated 2 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆126Updated 3 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆118Updated 4 years ago
- Resource Efficient Federated Learning☆23Updated 2 years ago
- An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster …☆24Updated 2 years ago
- A simulation framework for Federated Learning written in PyTorch☆204Updated 2 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆41Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆158Updated last year
- ☆28Updated 4 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆12Updated last year
- 联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes☆160Updated last month
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 3 years ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆33Updated last year
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 5 months ago
- Adaptive Offloading of Federated Learning on IoT Devices☆72Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆61Updated 2 months ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆28Updated 5 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆75Updated 2 years ago
- ☆195Updated last year
- Code for 'Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing', published in IEEE TPDS.☆91Updated 2 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆24Updated 2 years ago
- ☆38Updated 3 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Updated 3 years ago
- This repository implements FEDL using pytorch☆52Updated 4 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- ☆93Updated 3 years ago