Geyong Min

Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks

2020 · IEEE Transactions on Wireless Communications

To provide efficient networking services at the edge of Internet-of-Vehicles (IoV), Software-Defined Vehicular Network (SDVN) has been a promising technology to enable intelligent data exchange without giving additional duties to the resource constrained vehicles. Compared …

Query-oriented entity spatial-temporal summarization in fuzzy knowledge graph

2022 · Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

Knowledge Graph (KG) is a relatively new concept that has garnered a lot of attention. Furthermore, the information in KG is frequently ambiguous and imprecise, necessitating the creation of a Fuzzy Knowledge Graph (FKG). FKG …

Fed2VAEs: An Efficient Privacy-Preserving Federated Learning Approach Based on Variational Autoencoders

2024

Recently, federated learning (FL) has been threat-ened by the gradient inversion attack that infers user-private data from shared gradients. To cope with this problem, the differential privacy (DP) technique is widely employed in FL. However, …

Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing

2021 · IEEE Transactions on Parallel and Distributed Systems

Federated Learning (FL) is an emerging approach for collaboratively training Deep Neural Networks (DNNs) on mobile devices, without private user data leaving the devices. Previous works have shown that non-Independent and Identically Distributed (non-IID) user …