dilbwagsingh / HAR-using-Federated-LearningLinks
☆12Updated 5 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☆57Updated 2 years ago
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset☆27Updated last year
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆60Updated 3 years ago
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆39Updated 2 years ago
- 🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition☆17Updated 2 years ago
- DistFL: Distribution-aware Federated Learning for Mobile Scenarios☆12Updated 3 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆80Updated 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
- ☆17Updated 3 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆23Updated 5 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆42Updated 4 years ago
- ☆66Updated 3 years ago
- fully ready experiments☆38Updated 3 years ago
- Repo for MobiCom 2022 paper: " Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition ".☆56Updated 2 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆32Updated 3 months ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- An implementation of FedHealth☆11Updated 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
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 4 years ago
- This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual Inter…☆108Updated 2 years ago
- Repo for MobiSys 2023 paper: "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training".☆33Updated last year
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆114Updated 3 years ago
- An easy, modularized, DIY Federated Learning framework with many baselines for individual researchers.☆17Updated 2 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- ☆19Updated 4 years ago
- ☆11Updated 3 years ago
- Repo for MobiCom 2024 paper: "ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer’s Disease"…☆18Updated last year