25 citations · 48 across the 15 of their papers we have counts for
7 papers · 1 filter
Not All Retained Clients Are Equal: Client Selection for Federated Unlearning
Thanh Linh Nguyen, Quoc-Viet Pham
Federated unlearning (FU) aims to remove a designated target client's influence from a trained model without the prohibitive cost of retraining from scratch. Existing methods large…
Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression
Minh-Duong Nguyen, Senura Hansaja, Le-Tuan Nguyen +4
Federated Unlearning (FUL) aims to remove specific participants' data contributions from a trained Federated Learning model, thereby ensuring data privacy and compliance with regul…
ToFU: Transforming How Federated Learning Systems Forget User Data
Van-Tuan Tran, Hong-Hanh Nguyen-Le, Quoc-Viet Pham
Neural networks unintentionally memorize training data, creating privacy risks in federated learning (FL) systems, such as inference and reconstruction attacks on sensitive data. T…
Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
Minh-Duong Nguyen, Quoc-Viet Pham, Nguyen H. Tran +3
In this study, we design a low-complexity and generalized AI model that can capture common knowledge to improve data reconstruction of the channel decoder for semantic communicatio…
Domain Generalization via Pareto Optimal Gradient Matching
Khoi Do, Duong Nguyen, Nam-Khanh Le +3
In this study, we address the gradient-based domain generalization problem, where predictors aim for consistent gradient directions across different domains. Existing methods have…
Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
Minh-Duong Nguyen, Le-Tuan Nguyen, Quoc-Viet Pham
Federated Continual Learning (FCL) has recently emerged as a crucial research area, as data from distributed clients typically arrives as a stream, requiring sequential learning. T…
Distortion Resilience for Goal-Oriented Semantic Communication
Minh-Duong Nguyen, Quang-Vinh Do, Zhaohui Yang +2
Recent research efforts on Semantic Communication (SemCom) have mostly considered accuracy as a main problem for optimizing goal-oriented communication systems. However, these appr…