mania087 / HAR-Federated-Transfer-Learning-in-Pytorch
This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset
β26Updated 5 months ago
Alternatives and similar repositories for HAR-Federated-Transfer-Learning-in-Pytorch
Users that are interested in HAR-Federated-Transfer-Learning-in-Pytorch are comparing it to the libraries listed below
Sorting:
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognitionβ29Updated last year
- πProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognitionβ15Updated last year
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".β37Updated 2 years ago
- fully ready experimentsβ39Updated 2 years ago
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).β72Updated 2 years ago
- Four Federated learning datasets for Human Activity Recognitionβ53Updated last year
- This is a platform containing the datasets and federated learning algorithms in IoT environments.β64Updated 5 months ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDynβ26Updated 6 months ago
- Federated learning via stochastic gradient descentβ33Updated 4 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).β64Updated last year
- DistFL: Distribution-aware Federated Learning for Mobile Scenariosβ12Updated 3 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017β82Updated 9 months ago
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learningβ70Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"β74Updated 4 years ago
- Decentralized federated learning of deep neural networks on non-iid dataβ46Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distributionβ40Updated 2 years ago
- The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learniβ¦β14Updated 10 months ago
- The source code and collected data for the Meta-HAR (WWW 2021) paper.β33Updated 3 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"β29Updated last year
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).β68Updated 2 years ago
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorchβ22Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.β33Updated 4 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learningβ39Updated 2 years ago
- PyTorch Implementation of Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approachβ52Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in β¦β35Updated 11 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learningβ131Updated 6 months ago
- Official Code for PACFL AAAI 2023β43Updated last year
- β13Updated 4 months ago
- Similarity Guided Model Aggregation for Federated Learningβ24Updated 3 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"β57Updated 2 years ago