Copertina

NetFlowGen: Leveraging Generative Pre-training for Network Traffic Dynamics

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhou, Jiawei, Kim, Woojeong, Xu, Zhiying, Rush, Alexander M., Yu, Minlan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
di: Xu, Zhiying, et al.
Pubblicazione: (2022)

An LLM-based Agentic Framework for Accessible Network Control
di: Lin, Samuel, et al.
Pubblicazione: (2025)

Towards a Transformer-Based Pre-trained Model for IoT Traffic Classification
di: Bazaluk, Bruna, et al.
Pubblicazione: (2024)

NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
di: Wang, Tongze, et al.
Pubblicazione: (2024)

NetGPT: Generative Pretrained Transformer for Network Traffic
di: Meng, Xuying, et al.
Pubblicazione: (2023)

Nethira: A Heterogeneity-aware Hierarchical Pre-trained Model for Network Traffic Classification
di: Lin, Chungang, et al.
Pubblicazione: (2026)

ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis
di: Liu, Shinan, et al.
Pubblicazione: (2024)

Traffic Simulation in Ad Hoc Network of Flying UAVs with Generative AI Adaptation
di: Grekhov, Andrii, et al.
Pubblicazione: (2026)

Denoising Refinement Diffusion Models for Simultaneous Generation of Multi-scale Mobile Network Traffic
di: Qi, Xiaoqian, et al.
Pubblicazione: (2025)

FitNets: An Adaptive Framework to Learn Accurate Traffic Distributions
di: Dietmüller, Alexander, et al.
Pubblicazione: (2024)

FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
di: Liu, Chenyi, et al.
Pubblicazione: (2023)

Leveraging Multi-Step Traffic Forecasts for Multi-Period Planning Optical Networks
di: Savva, Giannis, et al.
Pubblicazione: (2026)

A Slicing Model for Transport Networks with Traffic Burst Control and QoS Compliance for Traffic Flows
di: Encinas-Alonso, Aitor, et al.
Pubblicazione: (2025)

Active Learning for Network Traffic Classification: A Technical Study
di: Shahraki, Amin, et al.
Pubblicazione: (2021)

NetArena: Dynamic Benchmarks for AI Agents in Network Automation
di: Zhou, Yajie, et al.
Pubblicazione: (2025)

Prioritized Multi-Tenant Traffic Engineering for Dynamic QoS Provisioning in Autonomous SDN-OpenFlow Edge Networks
di: Shahriar, Mohammad Sajid, et al.
Pubblicazione: (2024)

FRANCIS: Fast Reaction Algorithms for Network Coordination In Switches
di: Han, Wenchen, et al.
Pubblicazione: (2022)

PRIME: Plasticity-Robust Incremental Model for Encrypted Traffic Classification in Dynamic Network Environments
di: Qin, Tian, et al.
Pubblicazione: (2025)

Tutorial on Flow-Based Network Traffic Classification Using Machine Learning
di: Pekar, Adrian, et al.
Pubblicazione: (2026)

Online Network Traffic Classification Based on External Attention and Convolution by IP Packet Header
di: Hu, Yahui, et al.
Pubblicazione: (2023)

GraFSTNet: Graph-based Frequency SpatioTemporal Network for Cellular Traffic Prediction
di: Li, Ziyi, et al.
Pubblicazione: (2026)

A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks
di: Abrol, Akshita, et al.
Pubblicazione: (2024)

CareNet: Linking Home-router Network Traffic to DSM-5 Depressive Behavior Indicators
di: Nef, Stephan, et al.
Pubblicazione: (2025)

Learning-Based Traffic Classification for Mixed-Critical Flows in Time-Sensitive Networking
di: Debnath, Rubi, et al.
Pubblicazione: (2025)

AI Flow at the Network Edge
di: Shao, Jiawei, et al.
Pubblicazione: (2024)

NetSSM: Multi-Flow and State-Aware Network Trace Generation using State Space Models
di: Chu, Andrew, et al.
Pubblicazione: (2025)

Feasibility of State Space Models for Network Traffic Generation
di: Chu, Andrew, et al.
Pubblicazione: (2024)

Leveraging Wireless Sensor Networks for Real-Time Monitoring and Control of Industrial Environments
di: Asif, Muhammad Junaid, et al.
Pubblicazione: (2025)

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
di: Li, Minghao, et al.
Pubblicazione: (2023)

FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning
di: Ngo, Duc Thinh, et al.
Pubblicazione: (2024)

On the Role of Non-Terrestrial Networks for Boosting Terrestrial Network Performance in Dynamic Traffic Scenarios
di: Alam, Henri, et al.
Pubblicazione: (2024)

Combining Static and Dynamic Traffic with Delay Guarantees in Time-Sensitive Networking
di: Maile, Lisa, et al.
Pubblicazione: (2025)

Semantic Edge-Cloud Communication for Real-Time Urban Traffic Surveillance with ViT and LLMs over Mobile Networks
di: Onsu, Murat Arda, et al.
Pubblicazione: (2025)

Declarative Traffic Engineering for Low-Latency and Reliable Networking
di: Massa, Jacopo, et al.
Pubblicazione: (2025)

Adversarial Pre-Padding: Generating Evasive Network Traffic Against Transformer-Based Classifiers
di: Jing, Quanliang, et al.
Pubblicazione: (2025)

GeNet: A Multimodal LLM-Based Co-Pilot for Network Topology and Configuration
di: Ifland, Beni, et al.
Pubblicazione: (2024)

Cruise Control: Dynamic Model Selection for ML-Based Network Traffic Analysis
di: Hugon, Johann, et al.
Pubblicazione: (2024)

Dynamic Low Power Traffic Pattern for Energy Constrained Wireless Sensor Networks
di: Alauthman, Almamoon
Pubblicazione: (2025)

Less is More: Simplifying Network Traffic Classification Leveraging RFCs
di: Wickramasinghe, Nimesha, et al.
Pubblicazione: (2025)

NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
di: Haider, Momin, et al.
Pubblicazione: (2024)