no code implementations • 1 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.
no code implementations • 24 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.