VisionKG: Unleashing the Power of Visual Datasets via Knowledge Graph

no code implementations • 24 Sep 2023 • Jicheng Yuan, Anh Le-Tuan, Manh Nguyen-Duc, Trung-Kien Tran, Manfred Hauswirth, Danh Le-Phuoc

With the integration of 30 datasets and four popular CV tasks, we demonstrate its usefulness across various scenarios when working with CV pipelines.

Benchmarking Knowledge Graphs

An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity

no code implementations • 31 May 2023 • Kok-Seng Wong, Manh Nguyen-Duc, Khiem Le-Huy, Long Ho-Tuan, Cuong Do-Danh, Danh Le-Phuoc

Nowadays, billions of phones, IoT and edge devices around the world generate data continuously, enabling many Machine Learning (ML)-based products and applications.

Federated Learning

CQELS 2.0: Towards A Unified Framework for Semantic Stream Fusion

no code implementations • 15 Feb 2022 • Anh Le-Tuan, Manh Nguyen-Duc, Chien-Quang Le, Trung-Kien Tran, Manfred Hauswirth, Thomas Eiter, Danh Le-Phuoc

We present CQELS 2. 0, the second version of Continuous Query Evaluation over Linked Streams.

Fantastic Data and How to Query Them

1 code implementation • 13 Jan 2022 • Trung-Kien Tran, Anh Le-Tuan, Manh Nguyen-Duc, Jicheng Yuan, Danh Le-Phuoc

It is commonly acknowledged that the availability of the huge amount of (training) data is one of the most important factors for many recent advances in Artificial Intelligence (AI).