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☆113Updated 4 years ago
- Releasing the source code Version1.☆171Updated 4 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆78Updated 3 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆15Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 10 months ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆26Updated 10 months ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆56Updated 2 years ago
- ☆96Updated 3 years ago
- Investigating Split Learning and Federate Learning☆85Updated 5 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.☆22Updated 5 years ago
- Communication-efficient federated continual learning☆19Updated 2 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing☆17Updated 3 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago
- ☆32Updated 3 years ago
- Decentralized federated machine learning using peer-to-peer networks☆10Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆173Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆77Updated 5 years ago
- SCAFFOLD and FedAvg implementation☆61Updated 4 years ago
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 3 years ago
- Four Federated learning datasets for Human Activity Recognition☆54Updated 2 years ago
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆21Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Federated Learning package☆21Updated 4 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆78Updated 3 years ago