167 citations · 531 across the 87 of their papers we have counts for
14 papers · 1 filter
Toward BCI-enabled Metaverse: A Joint Learning and Resource Allocation Approach
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen +1
Toward user-driven Metaverse applications with fast wireless connectivity and tremendous computing demand through future 6G infrastructures, we propose a Brain-Computer Interface (…
Optimal Privacy Preserving for Federated Learning in Mobile Edge Computing
Hai M. Nguyen, Nam H. Chu, Diep N. Nguyen +5
Federated Learning (FL) with quantization and deliberately added noise over wireless networks is a promising approach to preserve user differential privacy (DP) while reducing wire…
Label driven Knowledge Distillation for Federated Learning with non-IID Data
Minh-Duong Nguyen, Quoc-Viet Pham, Dinh Thai Hoang +3
In real-world applications, Federated Learning (FL) meets two challenges: (1) scalability, especially when applied to massive IoT networks; and (2) how to be robust against an envi…
When Virtual Reality Meets Rate Splitting Multiple Access: A Joint Communication and Computation Approach
Nguyen Quang Hieu, Diep N. Nguyen, Dinh Thai Hoang +1
Rate Splitting Multiple Access (RSMA) has emerged as an effective interference management scheme for applications that require high data rates. Although RSMA has shown advantages i…
MetaSlicing: A Novel Resource Allocation Framework for Metaverse
Nam H. Chu, Dinh Thai Hoang, Diep N. Nguyen +4
Creating and maintaining the Metaverse requires enormous resources that have never been seen before, especially computing resources for intensive data processing to support the Ext…
Frequency Hopping Joint Radar-Communications with Hybrid Sub-pulse Frequency and Duration
Linh Manh Hoang, J. Andrew Zhang, Diep N. Nguyen +1
Frequency-hopping (FH) joint radar-communications (JRC) can offer excellent security for integrated sensing and communication systems. However, existing JRC schemes mainly embed in…