ki-ljl / Per-FedAvgLinks
PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
☆77Updated last year
Alternatives and similar repositories for Per-FedAvg
Users that are interested in Per-FedAvg are comparing it to the libraries listed below
Sorting:
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆168Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆113Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated last year
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆80Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆182Updated 4 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆56Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- ☆75Updated 5 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆74Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆78Updated 5 years ago
- ☆182Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated last year
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- Releasing the source code Version1.☆177Updated 4 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- ☆26Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆39Updated 2 years ago
- Implement FedAvg algorithm based on Tensorflow☆264Updated 5 years ago
- Code and data accompanying the FedGen paper☆256Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆31Updated 2 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- IJCAI-Personalized Federated Learning with Graph☆56Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Updated last year