Saved in:
| Main Authors: | Tran, Dung T., Ha, Nguyen B., Nguyen, Van-Dinh, Wong, Kok-Seng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.08339 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape
by: Nguyen, Tuan, et al.
Published: (2024)
by: Nguyen, Tuan, et al.
Published: (2024)
FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning
by: Nguyen, Tuan, et al.
Published: (2025)
by: Nguyen, Tuan, et al.
Published: (2025)
SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning
by: Wanasekara, Senura Hansaja, et al.
Published: (2025)
by: Wanasekara, Senura Hansaja, et al.
Published: (2025)
Memory-efficient Continual Learning with Prototypical Exemplar Condensation
by: Nguyen, Minh-Duong, et al.
Published: (2026)
by: Nguyen, Minh-Duong, et al.
Published: (2026)
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
by: Le, Khiem, et al.
Published: (2024)
by: Le, Khiem, et al.
Published: (2024)
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
by: Nguyen, Thinh, et al.
Published: (2024)
by: Nguyen, Thinh, et al.
Published: (2024)
pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork
by: Nguyen, Thinh, et al.
Published: (2025)
by: Nguyen, Thinh, et al.
Published: (2025)
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
by: Tuan, Tran Anh, et al.
Published: (2024)
by: Tuan, Tran Anh, et al.
Published: (2024)
HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
by: Nguyen, Thinh, et al.
Published: (2025)
by: Nguyen, Thinh, et al.
Published: (2025)
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training
by: Nguyen, Ngoc-Hieu, et al.
Published: (2024)
by: Nguyen, Ngoc-Hieu, et al.
Published: (2024)
Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization
by: Le, Long Tan, et al.
Published: (2023)
by: Le, Long Tan, et al.
Published: (2023)
HierSFL: Local Differential Privacy-aided Split Federated Learning in Mobile Edge Computing
by: Quan, Minh K., et al.
Published: (2024)
by: Quan, Minh K., et al.
Published: (2024)
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
by: Nguyen, Cam-Van Thi, et al.
Published: (2024)
by: Nguyen, Cam-Van Thi, et al.
Published: (2024)
Federated Split Learning for Human Activity Recognition with Differential Privacy
by: Ndeko, Josue, et al.
Published: (2024)
by: Ndeko, Josue, et al.
Published: (2024)
Latency-aware Multimodal Federated Learning over UAV Networks
by: Shaon, Shaba, et al.
Published: (2025)
by: Shaon, Shaba, et al.
Published: (2025)
Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization
by: Rahman, Ratun, et al.
Published: (2026)
by: Rahman, Ratun, et al.
Published: (2026)
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
by: Quy, Vu Khanh, et al.
Published: (2024)
by: Quy, Vu Khanh, et al.
Published: (2024)
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
by: Dao, Thinh, et al.
Published: (2025)
by: Dao, Thinh, et al.
Published: (2025)
Mixture of Experts Meets Prompt-Based Continual Learning
by: Le, Minh, et al.
Published: (2024)
by: Le, Minh, et al.
Published: (2024)
Rethinking Deep Alignment Through The Lens Of Incomplete Learning
by: Bach, Thong, et al.
Published: (2025)
by: Bach, Thong, et al.
Published: (2025)
Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
by: Nguyen, Duong M., et al.
Published: (2025)
by: Nguyen, Duong M., et al.
Published: (2025)
A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
by: Hoang, Nguyen Viet, et al.
Published: (2026)
by: Hoang, Nguyen Viet, et al.
Published: (2026)
Collaborative Learning for Cyberattack Detection in Blockchain Networks
by: Khoa, Tran Viet, et al.
Published: (2022)
by: Khoa, Tran Viet, et al.
Published: (2022)
Advancing Vietnamese Information Retrieval with Learning Objective and Benchmark
by: Nguyen, Phu-Vinh, et al.
Published: (2025)
by: Nguyen, Phu-Vinh, et al.
Published: (2025)
Deep Learning-Driven Friendly Jamming for Secure Multicarrier ISAC Under Channel Uncertainty
by: Tuan, Bui Minh, et al.
Published: (2026)
by: Tuan, Bui Minh, et al.
Published: (2026)
Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning
by: Tran, Quyen, et al.
Published: (2024)
by: Tran, Quyen, et al.
Published: (2024)
Multi-Agent Deep Reinforcement Learning for Collaborative UAV Relay Networks under Jamming Atatcks
by: Nguyen, Thai Duong, et al.
Published: (2025)
by: Nguyen, Thai Duong, et al.
Published: (2025)
Adaptive Rainfall Forecasting from Multiple Geographical Models Using Matrix Profile and Ensemble Learning
by: Tran, Dung T., et al.
Published: (2025)
by: Tran, Dung T., et al.
Published: (2025)
Unbiased and Biased Variance-Reduced Forward-Reflected-Backward Splitting Methods for Stochastic Composite Inclusions
by: Tran-Dinh, Quoc, et al.
Published: (2026)
by: Tran-Dinh, Quoc, et al.
Published: (2026)
Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representations
by: Nguyen, Khoi Anh, et al.
Published: (2025)
by: Nguyen, Khoi Anh, et al.
Published: (2025)
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
by: Rahman, Ratun, et al.
Published: (2024)
by: Rahman, Ratun, et al.
Published: (2024)
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
by: Nguyen, Van-Dinh, et al.
Published: (2021)
by: Nguyen, Van-Dinh, et al.
Published: (2021)
Towards Personalized Quantum Federated Learning for Anomaly Detection
by: Rahman, Ratun, et al.
Published: (2025)
by: Rahman, Ratun, et al.
Published: (2025)
Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
by: Rahman, Ratun, et al.
Published: (2025)
by: Rahman, Ratun, et al.
Published: (2025)
Tackling Heterogeneity in Quantum Federated Learning: An Integrated Sporadic-Personalized Approach
by: Rahman, Ratun, et al.
Published: (2026)
by: Rahman, Ratun, et al.
Published: (2026)
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning
by: Le, Huy Q., et al.
Published: (2022)
by: Le, Huy Q., et al.
Published: (2022)
SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms
by: Chen, Dian, et al.
Published: (2024)
by: Chen, Dian, et al.
Published: (2024)
SOFA-FL: Self-Organizing Hierarchical Federated Learning with Adaptive Clustered Data Sharing
by: Ni, Yi, et al.
Published: (2025)
by: Ni, Yi, et al.
Published: (2025)
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning
by: Nguyen, Son, et al.
Published: (2024)
by: Nguyen, Son, et al.
Published: (2024)
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
by: Dinh, Phai Vu, et al.
Published: (2024)
by: Dinh, Phai Vu, et al.
Published: (2024)
Similar Items
-
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape
by: Nguyen, Tuan, et al.
Published: (2024) -
FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning
by: Nguyen, Tuan, et al.
Published: (2025) -
SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning
by: Wanasekara, Senura Hansaja, et al.
Published: (2025) -
Memory-efficient Continual Learning with Prototypical Exemplar Condensation
by: Nguyen, Minh-Duong, et al.
Published: (2026) -
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
by: Le, Khiem, et al.
Published: (2024)