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☆115Updated 4 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated last year
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆79Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆78Updated 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
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach☆56Updated 2 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆31Updated last month
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆36Updated 3 years ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆43Updated 4 years ago
- ☆96Updated 4 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆28Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 3 years ago
- Releasing the source code Version1.☆173Updated 4 years ago
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆39Updated 2 years ago
- Four Federated learning datasets for Human Activity Recognition☆56Updated 2 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
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆177Updated 2 years ago
- Federated learning with model quantization☆16Updated 4 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆39Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆306Updated 3 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆17Updated 2 years ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆26Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Updated 3 years ago
- Investigating Split Learning and Federate Learning☆86Updated 5 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆95Updated 3 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆30Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago