Hongwei-Z / Federated-Random-Forest
Using Flower federated learning with scikit-learn random forest
☆12Updated last year
Alternatives and similar repositories for Federated-Random-Forest:
Users that are interested in Federated-Random-Forest are comparing it to the libraries listed below
- IJCAI-Personalized Federated Learning with Graph☆49Updated last year
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆59Updated 11 months ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆67Updated 2 years ago
- fully ready experiments☆35Updated 2 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆60Updated 2 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆18Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆135Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆20Updated last year
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 3 years ago
- PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Worksho…☆32Updated last year
- ☆18Updated 4 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆141Updated 3 weeks ago
- Implementation of dp-based federated learning framework using PyTorch☆291Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆76Updated 5 months ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆34Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆15Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆67Updated 2 years ago
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…☆56Updated last year
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆235Updated last year
- ☆75Updated 4 years ago
- Federated Learning Paper Reading List☆23Updated last year
- ☆17Updated last year
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆102Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆59Updated last month
- Codes for FedKD☆52Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆117Updated 2 years ago