A two-layer privacy system using skeletal abstraction and federated learning enables multi-site training for child autism behavior recognition and outperforms standard federated baselines on the MMASD benchmark.
Discrete cosine transform.IEEE transactions on Computers, 100(1): 90–93
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Unlocking Multi-Site Clinical Data: A Federated Approach to Privacy-First Child Autism Behavior Analysis
A two-layer privacy system using skeletal abstraction and federated learning enables multi-site training for child autism behavior recognition and outperforms standard federated baselines on the MMASD benchmark.