mnswdhw / PFSLLinks
Repository implementing the lightweight split learning framework enabling edge devices to collaboratively train machine learning models with Data & Label Privacy.
☆10Updated last year
Alternatives and similar repositories for PFSL
Users that are interested in PFSL are comparing it to the libraries listed below
Sorting:
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆116Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆71Updated last year
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆79Updated 5 years ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆27Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- ☆96Updated 4 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆40Updated 2 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆45Updated 3 years ago
- Releasing the source code Version1.☆179Updated 4 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆56Updated 3 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆80Updated 3 years ago
- Communication-efficient federated continual learning☆20Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 3 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 4 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Updated 3 years ago
- ☆33Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Updated 4 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆32Updated 3 months ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆254Updated 2 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆17Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆47Updated 3 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆43Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆161Updated 4 years ago
- Four Federated learning datasets for Human Activity Recognition☆57Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 6 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year