activity
20202026
most citedEnergy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks

5 citations · 8 across the 11 of their papers we have counts for

collaborators

21 papers

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.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.IT2026

Anchor-Aided Multi-User Semantic Communication with Adaptive Decoders

Loc X. Nguyen, Phuong-Nam Tran, Trung Thanh Pham +4

Semantic communication (SemCom) is accelerating its momentum to catch up with the massive increase in users' demands in both quantity and quality, with the assistance of advanced d…

cs.AI2025

A Survey on Foundation Models for Personalized Federated Intelligence

Yu Qiao, Huy Q. Le, Avi Deb Raha +7

The rise of large language models (LLMs), such as ChatGPT, Gemini, and Grok, has reshaped the AI landscape. As prominent instances of foundational models (FMs), they exhibit remark…

cs.CV2025

FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining

Mrityunjoy Gain, Kitae Kim, Avi Deb Raha +4

In this paper, we propose the FedFeat+ framework, which distinctively separates feature extraction from classification. We develop a two-tiered model training process: following lo…

cs.NI2025

Security Risks in Vision-Based Beam Prediction: From Spatial Proxy Attacks to Feature Refinement

Avi Deb Raha, Kitae Kim, Mrityunjoy Gain +4

The rapid evolution towards the sixth-generation (6G) networks demands advanced beamforming techniques to address challenges in dynamic, high-mobility scenarios, such as vehicular…