Chain123 / Meta-HAR
The source code and collected data for the Meta-HAR (WWW 2021) paper.
β32Updated 2 years ago
Alternatives and similar repositories for Meta-HAR:
Users that are interested in Meta-HAR are comparing it to the libraries listed below
- This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone datasetβ22Updated last month
- Four Federated learning datasets for Human Activity Recognitionβ51Updated last year
- πProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognitionβ15Updated last year
- β12Updated 4 years ago
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".β35Updated last year
- DistFL: Distribution-aware Federated Learning for Mobile Scenariosβ12Updated 2 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".β37Updated 3 years ago
- Repo for MobiSys 2023 paper: "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training".β24Updated 9 months ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognitionβ25Updated 8 months ago
- [KDD 2023] FedMultimodalβ89Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learningβ38Updated last year
- Communication-efficient federated continual learningβ14Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.β59Updated last month
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).β67Updated 2 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"β55Updated last year
- β58Updated 2 years ago
- Federated_learning codes used for the the paper "Evaluation of Federated Learning Aggregation Algorithms" and "A Federated Learning Aggreβ¦β11Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"β73Updated 4 years ago
- Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computingβ17Updated 3 years ago
- fully ready experimentsβ35Updated 2 years ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM datasetβ¦β51Updated 2 years ago
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorchβ22Updated 2 years ago
- Offering recent HAR papers collectionβ25Updated 2 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learningβ121Updated 2 months ago
- β43Updated 2 weeks ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).β59Updated 11 months ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"β27Updated last year
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approachβ42Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Trainingβ36Updated last year
- β9Updated 2 years ago