Alternatives and similar repositories for Meta-HAR

Users that are interested in Meta-HAR are comparing it to the libraries listed below

• xmouyang / FL-Datasets-for-HAR
  Four Federated learning datasets for Human Activity Recognition
  ☆57Updated 2 years ago
• cheng-haha / ProtoHAR
  🌟ProtoHAR: Prototype Guided Personalized Federated Learning for Human Activity Recognition
  ☆17Updated 2 years ago
• mania087 / HAR-Federated-Transfer-Learning-in-Pytorch
  This is an unofficial implementation of Federated Transfer Learning using UCI Smartphone dataset
  ☆27Updated last year
• dilbwagsingh / HAR-using-Federated-Learning
  ☆12Updated 5 years ago
• xmouyang / ClusterFL
  Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".
  ☆39Updated 2 years ago
• ki-ljl / FedPer
  PyTorch implementation of FedPer (Federated Learning with Personalization Layers).
  ☆80Updated 3 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆60Updated 2 years ago
• YikFungTsai / DistFL
  DistFL: Distribution-aware Federated Learning for Mobile Scenarios
  ☆12Updated 3 years ago
• youpengl / FedCHAR
  [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition
  ☆31Updated 2 months ago
• Chaolei98 / Baseline-with-HAR-datasets
  3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…
  ☆59Updated 3 years ago
• ongzh / ScaffoldFL
  Implementation of Scaffold and Fedprox for Federated Learning using PyTorch
  ☆23Updated 3 years ago
• hongyouc / FedBE
  FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
  ☆40Updated 2 years ago
• wyjeong / FedWeIT
  This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer
  ☆115Updated 4 years ago
• zhangzhao156 / Communication-efficient-federated-continual-learning
  Communication-efficient federated continual learning
  ☆19Updated 2 years ago
• dawenzi098 / SFL-Structural-Federated-Learning
  IJCAI-Personalized Federated Learning with Graph
  ☆56Updated 2 years ago
• smduan / Fed-TDA
  The implementation of our paper Fed-TDA
  ☆14Updated 2 years ago
• wyjeong / FedMatch
  This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…
  ☆82Updated 3 years ago
• diaoenmao / SemiFL-Semi-Supervised-Federated-Learning-for-Unlabeled-Clients-with-Alternate-Training
  [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
  ☆42Updated 2 years ago
• balanced-fl / Addressing-Class-Imbalance-FL
  This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
  ☆86Updated 4 years ago
• TsingZ0 / FL-IoT
  This is a platform containing the datasets and federated learning algorithms in IoT environments.
  ☆68Updated last year
• ddayzzz / federated-meta
  Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"
  ☆78Updated 5 years ago
• zzpustc / ML-Application-on-Network
  Offering recent HAR papers collection
  ☆26Updated 3 years ago
• TsingZ0 / FedALA
  AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning
  ☆143Updated last year
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆74Updated 2 years ago
• jorghyq2016 / FedHSSL
  The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learni…
  ☆14Updated last year
• xmouyang / Harmony
  Repo for MobiSys 2023 paper: "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training".
  ☆31Updated last year
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆89Updated 2 years ago
• smduan / FedMix
  The implementation of FedMix
  ☆11Updated 3 years ago
• mingxuts / multi-center-fed-learning
  fully ready experiments
  ☆38Updated 3 years ago
• ki-ljl / Per-FedAvg
  PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).
  ☆77Updated last year