dilbwagsingh / HAR-using-Federated-LearningLinks
☆12Updated 4 years ago
Alternatives and similar repositories for HAR-using-Federated-Learning
Users that are interested in HAR-using-Federated-Learning are comparing it to the libraries listed below
Sorting:
- The source code and collected data for the Meta-HAR (WWW 2021) paper.☆33Updated 3 years ago
- Four Federated learning datasets for Human Activity Recognition☆54Updated 2 years ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆26Updated 11 months ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆16Updated 2 years ago
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆39Updated 2 years ago
- DistFL: Distribution-aware Federated Learning for Mobile Scenarios☆12Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆77Updated 3 years ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆58Updated 3 years ago
- fully ready experiments☆39Updated 3 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆31Updated last week
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆22Updated 3 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆18Updated 2 years ago
- ☆19Updated 3 years ago
- The implementation of FedMix☆11Updated 3 years ago
- Repository implementing the lightweight split learning framework enabling edge devices to collaboratively train machine learning models w…☆10Updated last year
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆81Updated 3 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆22Updated 5 years ago
- ☆17Updated 4 years ago
- Federated_learning codes used for the the paper "Evaluation of Federated Learning Aggregation Algorithms" and "A Federated Learning Aggre…☆11Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆77Updated 5 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆40Updated 4 years ago
- Repo for MobiSys 2023 paper: "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training".☆30Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆68Updated 10 months ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆112Updated 3 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆89Updated 2 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 4 years ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆71Updated 2 years ago
- Federated Learning package☆21Updated 4 years ago