no code implementations • 22 Mar 2024 • Khiem Le, Long Ho, Cuong Do, Danh Le-Phuoc, Kok-Seng Wong
Domain shift is a formidable issue in Machine Learning that causes a model to suffer from performance degradation when tested on unseen domains.
1 code implementation • 8 Jan 2024 • Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong
Federated Recommendation (FedRec) systems have emerged as a solution to safeguard users' data in response to growing regulatory concerns.
no code implementations • 2 Oct 2023 • Duy C. Hoang, Quang H. Nguyen, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan
Despite outstanding performance in a variety of NLP tasks, recent studies have revealed that NLP models are vulnerable to adversarial attacks that slightly perturb the input to cause the models to misbehave.
no code implementations • 1 Oct 2023 • Quang H. Nguyen, Yingjie Lao, Tung Pham, Kok-Seng Wong, Khoa D. Doan
Recent works have shown that deep neural networks are vulnerable to adversarial examples that find samples close to the original image but can make the model misclassify.
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.
1 code implementation • 29 Apr 2023 • Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong, Huy Hieu Pham, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen
Federated learning (FL) enables multiple clients to train a model without compromising sensitive data.
no code implementations • 3 Mar 2023 • Thuy Dung Nguyen, Tuan Nguyen, Phi Le Nguyen, Hieu H. Pham, Khoa Doan, Kok-Seng Wong
Federated learning (FL) is a machine learning (ML) approach that allows the use of distributed data without compromising personal privacy.
1 code implementation • 22 Feb 2023 • Van-Tuan Tran, Huy-Hieu Pham, Kok-Seng Wong
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.
1 code implementation • 20 Nov 2022 • Quan Nguyen, Hieu H. Pham, Kok-Seng Wong, Phi Le Nguyen, Truong Thao Nguyen, Minh N. Do
FedDCT reduces the memory requirements and allows low-end devices to participate in FL.