Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Nguyen Duc, Manh"'
Federated Learning (FL) is a promising paradigm that offers significant advancements in privacy-preserving, decentralized machine learning by enabling collaborative training of models across distributed devices without centralizing data. However, the
Externí odkaz:
http://arxiv.org/abs/2405.20431
Autor:
Menet, Gabrielle, Nguyen, Duc-Manh
Let $d \geq 2$ and $n\geq 3$ be two natural numbers. Given any sequence $\kappa=(k_1,\dots,k_n) \in \mathbb{Z}^n$ such that $\gcd(k_1,\dots,k_n,d)=1$, we consider the family of Riemann surfaces obtained from the plane curves defined by $y^d=\prod_{i=
Externí odkaz:
http://arxiv.org/abs/2310.10401
Autor:
Yuan, Jicheng, Le-Tuan, Anh, Nguyen-Duc, Manh, Tran, Trung-Kien, Hauswirth, Manfred, Le-Phuoc, Danh
The availability of vast amounts of visual data with heterogeneous features is a key factor for developing, testing, and benchmarking of new computer vision (CV) algorithms and architectures. Most visual datasets are created and curated for specific
Externí odkaz:
http://arxiv.org/abs/2309.13610
Autor:
Nguyen, Duc-Manh
Let $\mathbb{P}\Omega^d\mathcal{M}_{0,n}(\kappa)$, where $\kappa=(k_1,\dots,k_n)$, be a stratum of (projectivized) $d$-differentials in genus $0$. We prove a recursive formula which relates the volume of $\mathbb{P}\Omega^d\mathcal{M}_{0,n}(\kappa)$
Externí odkaz:
http://arxiv.org/abs/2307.01728
Autor:
Wong, Kok-Seng, Nguyen-Duc, Manh, Le-Huy, Khiem, Ho-Tuan, Long, Do-Danh, Cuong, Le-Phuoc, Danh
Nowadays, billions of phones, IoT and edge devices around the world generate data continuously, enabling many Machine Learning (ML)-based products and applications. However, due to increasing privacy concerns and regulations, these data tend to resid
Externí odkaz:
http://arxiv.org/abs/2305.19831
Despite the notable advancements in numerous Transformer-based models, the task of long multi-horizon time series forecasting remains a persistent challenge, especially towards explainability. Focusing on commonly used saliency maps in explaining DNN
Externí odkaz:
http://arxiv.org/abs/2212.07771
Autor:
Nguyen, Duc-Manh
For $k \in \mathbb{Z}_{>0}$, let $\mathcal{H}^{(k)}_{g,n}$ denote the vector bundle over $\mathfrak{M}_{g,n}$ whose every fiber consists of meromorphic $k$-differentials with poles of order at most $k-1$ on a fixed Riemman surface of genus $g$ with $
Externí odkaz:
http://arxiv.org/abs/2209.12815
Autor:
Nguyen, Dinh-Tu, Le, Thi-Nhung, Phung, Thi-Huong, Nguyen, Duc-Manh, Nguyen, Hong-Quan, Pham, Hong-Thai, Phan, Thi-Thu-Hong, Vu, Hai, Le, Thi-Lan
Publikováno v:
In Ecological Informatics September 2024 82
Autor:
Le-Tuan, Anh, Nguyen-Duc, Manh, Le, Chien-Quang, Tran, Trung-Kien, Hauswirth, Manfred, Eiter, Thomas, Le-Phuoc, Danh
Publikováno v:
Stream Reasoning Workshop 2021
We present CQELS 2.0, the second version of Continuous Query Evaluation over Linked Streams. CQELS 2.0 is a platform-agnostic federated execution framework towards semantic stream fusion. In this version, we introduce a novel neural-symbolic stream r
Externí odkaz:
http://arxiv.org/abs/2202.13958
Publikováno v:
Stream Reasoning Workshop, Milano 2021
Stream processing and reasoning is getting considerable attention in various application domains such as IoT, Industry IoT and Smart Cities. In parallel, reasoning and knowledge-based features have attracted research into many areas of robotics, such
Externí odkaz:
http://arxiv.org/abs/2201.11625