5 citations · 9 across the 3 of their papers we have counts for
3 papers
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency
Duy Phuong Nguyen, J. Pablo Munoz, Tanya Roosta +1
Federated Learning (FL) enables collaborative learning across distributed clients while preserving data privacy. However, FL faces significant challenges when dealing with heteroge…
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
Duy Phuong Nguyen, J. Pablo Munoz, Ali Jannesari
In the rapidly evolving field of artificial intelligence, multimodal models, e.g., integrating vision and language into visual-language models (VLMs), have become pivotal for many…
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion
Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz +1
Concerned with user data privacy, this paper presents a new federated learning (FL) method that trains machine learning models on edge devices without accessing sensitive data. Tra…