beiyuouo / awesome-asynchronous-federated-learningLinks
π¦ Collect some Asynchronous Federated Learning papers.
β116Updated last year
Alternatives and similar repositories for awesome-asynchronous-federated-learning
Users that are interested in awesome-asynchronous-federated-learning are comparing it to the libraries listed below
Sorting:
- Standard federated learning implementations in FedLab and FL benchmarks.β153Updated last year
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.β49Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraintsβ174Updated 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 Clientsβ171Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflowβ41Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.β116Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"β80Updated 3 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Cheβ¦β72Updated 3 years ago
- θι¦ε¦δΉ 樑εεζ‘ζΆοΌζ―ζεη±»FLγA universal federated learning framework, free to switch thread and process modesβ172Updated last month
- β177Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.β66Updated 8 months ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,β¦β63Updated 11 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)β163Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)β62Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorchβ130Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)β145Updated 3 years ago
- Code and data accompanying the FedGen paperβ251Updated 9 months ago
- Accenture Labs Federated Learningβ104Updated last year
- Tutorials and paper lists for federated learningβ67Updated 3 years ago
- Releasing the source code Version1.β166Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillationβ157Updated 4 years ago
- β70Updated 9 months ago
- You only need to configure one file to support model heterogeneity. Consistent GPU memory usage for single or multiple clients.β179Updated this week
- π¨ A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.β23Updated 2 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visuaβ¦β77Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"β85Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.β123Updated 3 years ago
- β174Updated 9 months ago
- On the Convergence of FedAvg on Non-IID Dataβ266Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clientsβ158Updated 3 years ago