HAR
Emerging6papers using it
2020first seen
The HAR dataset contains human activity recognition data and is used to evaluate the performance of machine learning models in recognizing various physical activities.
Papers using HAR (6)
- PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning FrameworkLabel Leakage in Federated Inertial-based Human Activity RecognitionFed-Focal Loss for imbalanced data classification in Federated LearningFLAME: Federated Learning Across Multi-device EnvironmentsFedSiKD: Clients Similarity and Knowledge Distillation: Addressing
Non-i.i.d. and Constraints in Federated LearningTowards Adaptive Asynchronous Federated Learning for Human Activity
Recognition