diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
☆151Updated last year
Related projects ⓘ
Alternatives and complementary repositories for HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆160Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆61Updated 2 months ago
- Releasing the source code Version1.☆128Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆155Updated 2 years ago
- Accenture Labs Federated Learning☆93Updated 7 months ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆132Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆229Updated 3 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆206Updated 4 years ago
- ☆68Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆115Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆138Updated 2 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆79Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆67Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆70Updated 4 years ago
- Code and data accompanying the FedGen paper☆239Updated last week
- Decentralized federated learning of deep neural networks on non-iid data☆38Updated 2 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆115Updated last year
- ☆89Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆250Updated last year
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆107Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆105Updated 4 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆64Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆79Updated 2 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆67Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆56Updated last year
- ☆30Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆54Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆157Updated 9 months ago