activity
20232026
most citedAn Efficient Federated Learning Framework for Training Semantic Communication System

37 citations · 77 across the 19 of their papers we have counts for

collaborators
Showing 2026Show all

5 papers · 1 filter

cs.IT2026

Energy-Aware Compression-Computation Co-Adaptation for Latency Minimization in Multi-User Semantic Communication

Loc X. Nguyen, Yumin Park, Avi Deb Raha +4

Deep joint source-channel coding-enabled (DeepJSCC) semantic communication (SemCom) has excelled at delivering high perceptual quality at low channel-bandwidth ratios, which positi…

cs.LG2026

A VAE-Driven Multi-Task Satellite-Aided Semantic Communication Framework for 6G-Enabled Connected Autonomous Vehicles

S. M. Abtahiul Alam, Niloy Das, Apurba Adhikary +3

The development of smart transportation systems and the introduction of 6G wireless communication technologies have significantly changed vehicle network topologies. Future connect…

cs.IT2026

Semantic Communication for Non-Terrestrial Networks: A Survey from Platform Constraints to System Design

Loc X. Nguyen, Avi Deb Raha, Huy Q. Le +3

Sixth-generation networks are expected to extend connectivity beyond terrestrial infrastructure through non-terrestrial networks (NTNs) comprising satellites, high-altitude platfor…

cs.LG2026

Domain-Aware Hybrid Quantum Learning via Correlation-Guided Circuit Design for Crime Pattern Analytics

Niloy Das, Apurba Adhikary, Sheikh Salman Hassan +4

Crime pattern analysis is critical for law enforcement and predictive policing, yet the surge in criminal activities from rapid urbanization creates high-dimensional, imbalanced da…

cs.CV2026

Geometric Knowledge-Assisted Federated Dual Knowledge Distillation Approach Towards Remote Sensing Satellite Imagery

Luyao Zou, Fei Pan, Jueying Li +4

Federated learning (FL) has recently become a promising solution for analyzing remote sensing satellite imagery (RSSI). However, the large scale and inherent data heterogeneity of…