Sunday, 09 June
Time: 8:30 - 17:30
Location:
Session 1 - Flexible Network Management
Keynote: Data Driven Wireless Virtualization for Enhancing Network Security, Capacity and Energy Efficiency in NextG Wireless Networks, by Prof. Dr. Danda B. Rawat, Howard University (USA)
Paper # 1570997603 - Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN
Paper # 1570996170 - Improving the Real-Data Driven Network Evaluation Model for Digital Twin Networks
Paper # 1570996080 - DQN-based Adaptive Network Architecture for High Fidelity Next-Gen Traffic Classification
Break
Session 2 - Data-Driven Resource Management
Paper # 1570996049 - Meta-Learning Traffic Pattern Adaptation for DRL-Based Radio Resource Management
Paper # 1570995818 - GNN-Based Joint Channel and Power Allocation in Heterogeneous Wireless Networks
Paper # 1570989704 - Rescheduling for Dynamic Traffic in Time-Sensitive Networks
Paper # 1570989128 - Accelerating Distributed Model Training through Intelligent Node Selection and Data Allocation Strategies in 6G network
Paper # 1570989263 - Online Multi-Access Scheduling in Space-Air-Ground Integrated Networks using Graph Neural Network-Enhanced Reinforcement Learning
Session 3 - Adaptive Communication for varying channels
Paper # 1570996293 - Clustered Predictive Quality of Service for Connected Vehicles Using Federated Learning
Paper # 1570989825 - Data-Driven Design for IRS-Assisted Massive Multi-Modal Sensing in Industry 5.0
Paper # 1570989896 - Statistical AI/ML Model Monitoring for 5G/6G: Interference Prediction Case Study
Paper # 1570989098 - Hypernetwork-based Adaptive Self-Interference Cancellation for Full-Duplex Wireless Communication Systems
Paper # 1570995517 - Data-driven Radio Environment Map Estimation using Graph Neural Networks
Session 4 - Reliable Network and Security
Paper # 1570995078 - Brain-inspired Real Time Anomaly Detection System for Mobile Networks
Paper # 1570989942 - Quant-Jack: Quantum Machine Learning to detect Cryptojacking attacks in IIoT networks
Paper # 1570991183 - A Federated Learning Mechanism for Mitigating Selective Forwarding Attacks in RPL-based Internet of Things
Paper # 1570995602 - Adaptive Transit Control with Crowd Density Estimation for UWB Contactless Gate
Paper # 1570995169 - Fault Detection in Telecom Networks Using Diffusion Models
Afternoon Sessions
Session 5 - Intelligent Data Analysis (1)
Paper # 1570990054 - Just Enough Disclosure (JED): Taking Advantage of Non-IID Data for Federated Learning in Mobile Edge Computing
Paper # 1570995970 - Split-FL: An Efficient Online Federated Learning Framework with Constrained Computation and Streaming Data
Paper # 1570995946 - A Signature based Approach Towards Global Channel Charting with Ultra Low Complexity
Paper # 1570995689 - FaiRTT: An Empirical Approach for Enhanced RTT Fairness and Bottleneck Throughput in BBR
Paper # 1570994759 - Toward Fast and Accurate Sensor Data Prediction using iDC-MLP Algorithm for Industrial IoT
Session 6 - Intelligent Data Analysis (2)
Paper # 1570989551 - Enhancing Approximate Message Passing via Diffusion Models Towards On-Device Intelligence
Paper # 1570996183 - Exploring Internet-Scale Data-Driven Intelligence: Empirical Analysis of the Russo-Ukrainian Conflict
Paper # 1570989251 - CDVD: Causal Dynamic Variational Deconfounder for Estimating Parameter Adjusting Effect
Paper # 1570989867 - On Popularity-and-Volume-based Reduction of Logistic Costs in ICN
Paper # 1570989769 - Incremental Least-Recently-Used Algorithm: Good, Robust, and Predictable Performance
