kevinhsieh / non_iid_dml
☆29Updated 4 years ago
Alternatives and similar repositories for non_iid_dml:
Users that are interested in non_iid_dml are comparing it to the libraries listed below
- Codebase for An Efficient Framework for Clustered Federated Learning.☆113Updated 4 years ago
- ☆26Updated 4 years ago
- Federated Dynamic Sparse Training☆30Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆39Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆152Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- ☆35Updated 3 years ago
- ☆28Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 4 years ago
- ☆155Updated 2 years ago
- ☆77Updated 3 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated last year
- Oort: Efficient Federated Learning via Guided Participant Selection☆125Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆62Updated 7 months ago
- ☆54Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- ☆23Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆82Updated 3 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆76Updated 3 years ago
- Code for ScaleFL☆31Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆142Updated 2 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- ☆45Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆77Updated 2 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated last year
- Understanding Top-k Sparsification in Distributed Deep Learning☆24Updated 5 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 8 months ago
- ☆93Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆85Updated 2 years ago