Search Results for author: Jonathan Kua

Found 2 papers, 0 papers with code

Quantum Federated Learning Experiments in the Cloud with Data Encoding

no code implementations1 May 2024 Shiva Raj Pokhrel, Naman Yash, Jonathan Kua, Gang Li, Lei Pan

Quantum Federated Learning (QFL) is an emerging concept that aims to unfold federated learning (FL) over quantum networks, enabling collaborative quantum model training along with local data privacy.

Federated Learning

Deakin RF-Sensing: Experiments on Correlated Knowledge Distillation for Monitoring Human Postures with Radios

no code implementations24 May 2023 Shiva Raj Pokhrel, Jonathan Kua, Deol Satish, Philip Williams, Arkady Zaslavsky, Seng W. Loke, Jinho Choi

The proposed CKD framework transfers and fuses pose knowledge from a robust "Teacher" model to a parameterized "Student" model, which can be a promising technique for obtaining accurate yet lightweight pose estimates.

Knowledge Distillation

Cannot find the paper you are looking for? You can Submit a new open access paper.