4 citations · 7 across the 5 of their papers we have counts for
5 papers
Privacy-Preserving Quantized Federated Learning with Diverse Precision
Dang Qua Nguyen, Morteza Hashemi, Erik Perrins +3
Federated learning (FL) has emerged as a promising paradigm for distributed machine learning, enabling collaborative training of a global model across multiple local devices withou…
No Analog Combiner TTD-based Hybrid Precoding for Multi-User Sub-THz Communications
Dang Qua Nguyen, Alexei Ashikhmin, Hong Yang +1
We address the design and optimization of real-world-suitable hybrid precoders for multi-user wideband sub-terahertz (sub-THz) communications. We note that the conventional fully c…
On the Stability of Approximate Message Passing with Independent Measurement Ensembles
Dang Qua Nguyen, Taejoon Kim
Approximate message passing (AMP) is a scalable, iterative approach to signal recovery. For structured random measurement ensembles, including independent and identically distribut…
Joint Delay-Phase Precoding Under True-Time Delay Constraints in Wideband Sub-THz Hybrid Massive MIMO Systems
Dang Qua Nguyen, Taejoon Kim
In wideband sub-Terahertz (sub-THz) massive multiple-input multiple-output (MIMO) communication systems, the beam squint effect manifests as a substantial degradation in array gain…
Joint Delay and Phase Precoding Under True-Time Delay Constraints for THz Massive MIMO
Dang Qua Nguyen, Taejoon Kim
A new approach is presented to the problem of compensating the beam squint effect arising in wideband terahertz (THz) hybrid massive multiple-input multiple-output (MIMO) systems,…