dilbwagsingh / HAR-using-Federated-Learning
☆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
- The source code and collected data for the Meta-HAR (WWW 2021) paper.☆32Updated 2 years ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆26Updated 3 months ago
- Four Federated learning datasets for Human Activity Recognition☆52Updated last year
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆51Updated 2 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆15Updated last year
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆36Updated last year
- DistFL: Distribution-aware Federated Learning for Mobile Scenarios☆12Updated 3 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
- Repo for MobiSys 2023 paper: "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training".☆26Updated 11 months ago
- Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition☆11Updated 2 years ago
- ☆11Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆70Updated 2 years ago
- fully ready experiments☆36Updated 2 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆29Updated 10 months ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆40Updated 3 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆37Updated 3 years ago
- An implementation of FedHealth☆11Updated 3 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- ☆59Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆62Updated 3 months ago
- ☆8Updated 4 years ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- ☆18Updated 3 years ago
- ☆9Updated 3 years ago
- ☆73Updated last year
- Repo for MobiCom 2022 paper: " Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition ".☆47Updated last year
- [KDD 2023] FedMultimodal☆101Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆37Updated last year
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆27Updated last year