YikFungTsai / DistFLLinks
DistFL: Distribution-aware Federated Learning for Mobile Scenarios
☆12Updated 3 years ago
Alternatives and similar repositories for DistFL
Users that are interested in DistFL are comparing it to the libraries listed below
Sorting:
- fully ready experiments☆38Updated 3 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆19Updated 3 years ago
- ☆75Updated 5 years ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆27Updated last year
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆78Updated 5 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆182Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆168Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆154Updated 3 years ago
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆39Updated 2 years ago
- ☆29Updated 4 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆80Updated 3 years ago
- Code and data accompanying the FedGen paper☆256Updated last year
- ☆26Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆39Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆77Updated last year
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆56Updated 2 years ago
- ☆162Updated 3 years ago
- IJCAI-Personalized Federated Learning with Graph☆56Updated 2 years ago
- ☆182Updated 2 years ago
- ☆19Updated 5 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- Accenture Labs Federated Learning☆106Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆143Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago