ysyisyourbrother / Federated-Learning-ResearchLinks
An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster and help researchers to explore more problems existing in real FL systems.
☆29Updated 3 years ago
Alternatives and similar repositories for Federated-Learning-Research
Users that are interested in Federated-Learning-Research are comparing it to the libraries listed below
Sorting:
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆177Updated 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
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆65Updated 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☆178Updated 7 months ago
- Releasing the source code Version1.☆177Updated 4 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96Updated 3 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆123Updated 2 years ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 4 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Updated 3 years ago
- Investigating Split Learning and Federate Learning☆87Updated 5 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- A simulation framework for Federated Learning written in PyTorch☆209Updated 3 years ago
- ☆48Updated 3 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Updated 4 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆140Updated 5 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆42Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 6 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
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Updated 2 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆131Updated 4 years ago
- ☆33Updated 3 years ago
- Resource Efficient Federated Learning☆25Updated 3 years ago
- Accenture Labs Federated Learning☆106Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆156Updated 3 years ago
- ☆30Updated 5 years ago