Bokai Cao

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks

2018

Meta-graph is currently the most powerful tool for similarity search on heterogeneous information networks, where a meta-graph is a composition of meta-paths that captures the complex structural information. However, current relevance computing based on meta-graph …

Private Model Compression via Knowledge Distillation

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

The soaring demand for intelligent mobile applications calls for deploying powerful deep neural networks (DNNs) on mobile devices. However, the outstanding performance of DNNs notoriously relies on increasingly complex models, which in turn is associated …

LCFIL: A Loss Compensation Mechanism for Latest Data in Federated Incremental Learning

2022 · 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)

Federated Learning(FL) has become a research hot spot in recent years because of its advantages in privacy protection. With FL, user data no longer needs to be transferred to a data center, but only trained …