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cs.LG2024★ 4 cited
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
Khiem Le, Nhan Luong-Ha, Manh Nguyen-Duc +3
Federated Learning (FL) is a promising paradigm that offers significant advancements in privacy-preserving, decentralized machine learning by enabling collaborative training of mod…
cs.LG2023★ 4 cited
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity
Kok-Seng Wong, Manh Nguyen-Duc, Khiem Le-Huy +3
Nowadays, billions of phones, IoT and edge devices around the world generate data continuously, enabling many Machine Learning (ML)-based products and applications. However, due to…