1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.AI2023★ 1 cited
Intelligence-Endogenous Management Platform for Computing and Network Convergence
Zicong Hong, Xiaoyu Qiu, Jian Lin +5
Massive emerging applications are driving demand for the ubiquitous deployment of computing power today. This trend not only spurs the recent popularity of the \emph{Computing and…
cs.LG2023
Model Provenance via Model DNA
Xin Mu, Yu Wang, Yehong Zhang +4
Understanding the life cycle of the machine learning (ML) model is an intriguing area of research (e.g., understanding where the model comes from, how it is trained, and how it is…
cs.LG2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Shiyu Liu, Shaogao Lv, Dun Zeng +3
Federated learning is a decentralized and privacy-preserving technique that enables multiple clients to collaborate with a server to learn a global model without exposing their pri…