Eui‐Nam Huh

University of North Carolina at Chapel Hill — United States

Computer Science · Physical Sciences

39h-index7.5kcitations542works1.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

IoT and Edge/Fog Computing(155), Cloud Computing and Resource Management(142), Caching and Content Delivery(97), Energy Efficient Wireless Sensor Networks(53), Distributed and Parallel Computing Systems(48)

Publications542 total

A Vision of Agentic AI for Federated Learning Framework: Workflows, System Design and Challenges
2025Open Access
DART: A state-aware online co-scheduling runtime for data-parallel training
Future Generation Computer Systems·2025· 1 cited
Cross-Domain Federated Semantic Communication with Global Representation Alignment and Domain-Aware Aggregation
ArXiv.org·2025Open Access
Security Risks in Vision-Based Beam Prediction: From Spatial Proxy Attacks to Feature Refinement
IEEE Transactions on Wireless Communications·2025
Adversarial Attacks and Defenses for Vision-based mmWave Beam Prediction in 6G UAV Networks
2025Open Access
Robust Federated Learning With Heterogeneous Clients via Classifier Calibration and Alignment
IEEE Internet of Things Journal·2025
DeepSeek-Inspired Exploration of RL-Based LLMs and Synergy with Wireless Networks: A Survey
ACM Computing Surveys·2025Open Access
CacheMoE: Task-Aware Expert Model Caching for Multitask Inference in Distributed Edge IoT Networks
IEEE Internet of Things Journal·2025
Miss-Triggered Content Cache Replacement Under Partial Observability: Transformer-Decoder Q-Learning
Mathematics·2025Open Access
Semantic-Guided Regularization to Mitigate Spectral Bias in Implicit Neural Representations
2025
Adaptive Semantic Communication for Multi-User Systems with Non-Uniform Deep Architectures
2025
Noise-Robust Federated Learning via Contrastive Initialization and Sparse Regularization
2025
Mitigating Label Skewness in Robust Federated Learning via Feature Synthesis
2025· 1 cited
Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks
IEEE Transactions on Network Science and Engineering·2025· 3 cited
Whole dataset context-aware prediction on the null values in time series data for faster inferencing with low complexity
Information Processing & Management·2025
MSTH-Former: Optimizing Workload Prediction in Edge-Cloud Continuum with Multi-Scale Temporal and Hierarchical Knowledge Convergence and Distillation
2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
2025· 1 citedOpen Access
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
ArXiv.org·2025Open Access
The journey to cloud as a continuum: Opportunities, challenges, and research directions
ICT Express·2025Open Access
DeepSeek-Inspired Exploration of RL-based LLMs and Synergy with Wireless Networks: A Survey
2025· 1 citedOpen Access
page 1 of 28Next →

Frequent Co-authors

Mohammad Aazam(10), Mohammad Mehedi Hassan(10), Choong Seon Hong(10), Xuan‐Qui Pham(7), Nguyen H. Tran(7), Biao Song(5), VanDung Nguyen(5), Luan N. T. Huynh(4), Md. Delowar Hossain(4), Sungyoung Lee(4), Zhu Han(3), T. D. Nguyen(3), Tran Hoang Hai(3), Marc St‐Hilaire(3), Ioannis Lambadaris(3), Tien-Dung Nguyen(3), Aymen Abdullah Alsaffar(2), Md. Motaharul Islam(2), Ga‐Won Lee(2), Quoc‐Viet Pham(2)