Zobrazeno 1 - 10
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pro vyhledávání: '"Pham, The Hieu"'
Autor:
Nguyen, Manh Duong, Nguyen, Trung Thanh, Pham, Huy Hieu, Hoang, Trong Nghia, Nguyen, Phi Le, Huynh, Thanh Trung
Federated Learning (FL) is a method for training machine learning models using distributed data sources. It ensures privacy by allowing clients to collaboratively learn a shared global model while storing their data locally. However, a significant ch
Externí odkaz:
http://arxiv.org/abs/2410.03070
Autor:
Pham, The Hieu, Nguyen, Phuong Thanh Tran, Nguyen, Xuan Tho, Nguyen, Tan Dat, Nguyen, Duc Dung
The research on audio clue-based target speaker extraction (TSE) has mostly focused on modeling the mixture and reference speech, achieving high performance in English due to the availability of large datasets. However, less attention has been given
Externí odkaz:
http://arxiv.org/abs/2410.00527
Conditional video diffusion models (CDM) have shown promising results for video synthesis, potentially enabling the generation of realistic echocardiograms to address the problem of data scarcity. However, current CDMs require a paired segmentation m
Externí odkaz:
http://arxiv.org/abs/2408.03035
Dosimetry is an essential tool to provide the best and safest radio-therapies to a patient. In this field, Monte-Carlo simulations are considered to be the golden standard for predicting accurately the deposited dose in the body. Such methods are ver
Externí odkaz:
http://arxiv.org/abs/2405.02477
In this work, we investigate the time series representation learning problem using self-supervised techniques. Contrastive learning is well-known in this area as it is a powerful method for extracting information from the series and generating task-a
Externí odkaz:
http://arxiv.org/abs/2306.06579
Autor:
Nguyen, Thuy Dung, Nguyen, Anh Duy, Wong, Kok-Seng, Pham, Huy Hieu, Nguyen, Thanh Hung, Nguyen, Phi Le, Nguyen, Truong Thao
Federated learning (FL) enables multiple clients to train a model without compromising sensitive data. The decentralized nature of FL makes it susceptible to adversarial attacks, especially backdoor insertion during training. Recently, the edge-case
Externí odkaz:
http://arxiv.org/abs/2305.00328
Autor:
Nguyen, Anh Duy, Pham, Huy Hieu, Trung, Huynh Thanh, Nguyen, Quoc Viet Hung, Truong, Thao Nguyen, Nguyen, Phi Le
Due to the significant resemblance in visual appearance, pill misuse is prevalent and has become a critical issue, responsible for one-third of all deaths worldwide. Pill identification, thus, is a crucial concern needed to be investigated thoroughly
Externí odkaz:
http://arxiv.org/abs/2303.09782
Federated learning (FL) is recently surging as a promising decentralized deep learning (DL) framework that enables DL-based approaches trained collaboratively across clients without sharing private data. However, in the context of the central party b
Externí odkaz:
http://arxiv.org/abs/2302.12020
Autor:
Nguyen, Nang Hung, Nguyen, Duc Long, Nguyen, Trong Bang, Nguyen, Thanh-Hung, Pham, Huy Hieu, Nguyen, Truong Thao, Nguyen, Phi Le
Federated learning enables edge devices to train a global model collaboratively without exposing their data. Despite achieving outstanding advantages in computing efficiency and privacy protection, federated learning faces a significant challenge whe
Externí odkaz:
http://arxiv.org/abs/2302.10413
Autor:
Nguyen, Trung Thanh, Nguyen, Hoang Dang, Nguyen, Thanh Hung, Pham, Huy Hieu, Ide, Ichiro, Nguyen, Phi Le
Medication mistaking is one of the risks that can result in unpredictable consequences for patients. To mitigate this risk, we develop an automatic system that correctly identifies pill-prescription from mobile images. Specifically, we define a so-ca
Externí odkaz:
http://arxiv.org/abs/2209.01152