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Found 3 papers, 1 papers with code
Meta-HAR: Federated Representation Learning for Human Activity Recognition
However, the effectiveness of federated learning for HAR is affected by the fact that each user has different activity types and even a different signal distribution for the same activity type.
Similarity Embedding Networks for Robust Human Activity Recognition
Deep learning models for human activity recognition (HAR) based on sensor data have been heavily studied recently.
Stochastic Distributed Optimization for Machine Learning from Decentralized Features
Distributed machine learning has been widely studied in the literature to scale up machine learning model training in the presence of an ever-increasing amount of data.
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