Elastically-Constrained Meta-Learner for Federated Learning

no code implementations • 29 Jun 2023 • Peng Lan, Donglai Chen, Chong Xie, Keshu Chen, Jinyuan He, Juntao Zhang, Yonghong Chen, Yan Xu

One of the challenges in federated learning is non-IID data between clients, as a single model can not fit the data distribution for all clients.

Federated Learning Meta-Learning

A New Non-Negative Matrix Co-Factorisation Approach for Noisy Neonatal Chest Sound Separation

1 code implementation • 4 Sep 2021 • Ethan Grooby, Jinyuan He, Davood Fattahi, Lindsay Zhou, Arrabella King, Ashwin Ramanathan, Atul Malhotra, Guy A. Dumont, Faezeh Marzbanrad

Obtaining high-quality heart and lung sounds enables clinicians to accurately assess a newborn's cardio-respiratory health and provide timely care.

Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model

no code implementations • 17 Aug 2021 • Chiranjibi Sitaula, Jinyuan He, Archana Priyadarshi, Mark Tracy, Omid Kavehei, Murray Hinder, Anusha Withana, Alistair McEwan, Faezeh Marzbanrad

Abdominal auscultation is a convenient, safe and inexpensive method to assess bowel conditions, which is essential in neonatal care.

Sound Classification