Saved in:
| Main Authors: | Duan, Tao, Zhao, Junzhou, Zhang, Shuo, Tao, Jing, Wang, Pinghui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.07454 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
by: Zhao, Yuqi, et al.
Published: (2025)
by: Zhao, Yuqi, et al.
Published: (2025)
Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
by: Tao, Zhenyu, et al.
Published: (2023)
by: Tao, Zhenyu, et al.
Published: (2023)
Data Augmentation for Traffic Classification
by: Wang, Chao, et al.
Published: (2024)
by: Wang, Chao, et al.
Published: (2024)
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
by: Geng, Jiaxiang, et al.
Published: (2024)
by: Geng, Jiaxiang, et al.
Published: (2024)
Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis
by: Wen, Dong, et al.
Published: (2024)
by: Wen, Dong, et al.
Published: (2024)
TURBOTEST: Learning When Less is Enough through Early Termination of Internet Speed Tests
by: Manda, Haarika, et al.
Published: (2025)
by: Manda, Haarika, et al.
Published: (2025)
NetMamba: Efficient Network Traffic Classification via Pre-training Unidirectional Mamba
by: Wang, Tongze, et al.
Published: (2024)
by: Wang, Tongze, et al.
Published: (2024)
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets
by: Babaria, Rushi Jayeshkumar, et al.
Published: (2025)
by: Babaria, Rushi Jayeshkumar, et al.
Published: (2025)
A Multi-Agent, Policy-Gradient approach to Network Routing
by: Tao, Nigel, et al.
Published: (2025)
by: Tao, Nigel, et al.
Published: (2025)
Agile Orchestration at Will: An Entire Smart Service-Based Security Architecture Towards 6G
by: Duan, Zhuoran, et al.
Published: (2025)
by: Duan, Zhuoran, et al.
Published: (2025)
Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
by: Ponraj, Riya, et al.
Published: (2025)
by: Ponraj, Riya, et al.
Published: (2025)
SwiftChannel: Algorithm-Hardware Co-Design for Deep Learning-Based 5G Channel Estimation
by: Lyu, Shengzhe, et al.
Published: (2026)
by: Lyu, Shengzhe, et al.
Published: (2026)
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers
by: Chehade, Adel, et al.
Published: (2025)
by: Chehade, Adel, et al.
Published: (2025)
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
by: Sun, Yuchang, et al.
Published: (2021)
by: Sun, Yuchang, et al.
Published: (2021)
PLATONT: Learning a Platonic Representation for Unified Network Tomography
by: Du, Chengze, et al.
Published: (2025)
by: Du, Chengze, et al.
Published: (2025)
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses
by: Kang, Yingkai, et al.
Published: (2025)
by: Kang, Yingkai, et al.
Published: (2025)
Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things
by: Wang, Heqiang, et al.
Published: (2025)
by: Wang, Heqiang, et al.
Published: (2025)
HetCCL: Enabling Collective Communication For Mixed-Vendor Heterogeneous Clusters
by: Wang, Yuejie, et al.
Published: (2026)
by: Wang, Yuejie, et al.
Published: (2026)
Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning
by: Chen, Jiahui, et al.
Published: (2021)
by: Chen, Jiahui, et al.
Published: (2021)
MLFCIL: A Multi-Level Forgetting Mitigation Framework for Federated Class-Incremental Learning in LEO Satellites
by: Zhang, Heng, et al.
Published: (2026)
by: Zhang, Heng, et al.
Published: (2026)
Bias in the Shadows: Explore Shortcuts in Encrypted Network Traffic Classification
by: Wang, Chuyi, et al.
Published: (2026)
by: Wang, Chuyi, et al.
Published: (2026)
Temporal Hyperbolic Graph Representation Learning for Scale-Free Internet Routing and Delay Prediction
by: Kuo, Yi-Ling, et al.
Published: (2026)
by: Kuo, Yi-Ling, et al.
Published: (2026)
NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning
by: Fang, Zhen, et al.
Published: (2026)
by: Fang, Zhen, et al.
Published: (2026)
Causal Intervention Sequence Analysis for Fault Tracking in Radio Access Networks
by: Shi, Chenhua, et al.
Published: (2025)
by: Shi, Chenhua, et al.
Published: (2025)
Sequence Spreading-Based Semantic Communication Under High RF Interference
by: Barka, Hazem, et al.
Published: (2025)
by: Barka, Hazem, et al.
Published: (2025)
Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success
by: Luxemburk, Jan, et al.
Published: (2025)
by: Luxemburk, Jan, et al.
Published: (2025)
PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
by: Guo, Zhaochen, et al.
Published: (2026)
by: Guo, Zhaochen, et al.
Published: (2026)
FedsLLM: Federated Split Learning for Large Language Models over Communication Networks
by: Zhao, Kai, et al.
Published: (2024)
by: Zhao, Kai, et al.
Published: (2024)
Learning to Optimize Joint Source and RIS-assisted Channel Encoding for Multi-User Semantic Communication Systems
by: Wang, Haidong, et al.
Published: (2026)
by: Wang, Haidong, et al.
Published: (2026)
Early Detection of Network Service Degradation: An Intra-Flow Approach
by: Bicski, Balint, et al.
Published: (2024)
by: Bicski, Balint, et al.
Published: (2024)
Efficient Split Federated Learning for Large Language Models over Communication Networks
by: Zhao, Kai, et al.
Published: (2025)
by: Zhao, Kai, et al.
Published: (2025)
LLM-Driven Stationarity-Aware Expert Demonstrations for Multi-Agent Reinforcement Learning in Mobile Systems
by: Duan, Tianyang, et al.
Published: (2025)
by: Duan, Tianyang, et al.
Published: (2025)
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
by: Zhang, Cui, et al.
Published: (2024)
by: Zhang, Cui, et al.
Published: (2024)
Socialized Learning: A Survey of the Paradigm Shift for Edge Intelligence in Networked Systems
by: Wang, Xiaofei, et al.
Published: (2024)
by: Wang, Xiaofei, et al.
Published: (2024)
Q-Learning-Based Time-Critical Data Aggregation Scheduling in IoT
by: Vo, Van-Vi, et al.
Published: (2025)
by: Vo, Van-Vi, et al.
Published: (2025)
Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring
by: Camacho, José, et al.
Published: (2019)
by: Camacho, José, et al.
Published: (2019)
Geminet: Learning the Duality-based Iterative Process for Lightweight Traffic Engineering in Changing Topologies
by: Liu, Ximeng, et al.
Published: (2025)
by: Liu, Ximeng, et al.
Published: (2025)
Heterogeneity-Oblivious Robust Federated Learning
by: Zhang, Weiyao, et al.
Published: (2025)
by: Zhang, Weiyao, et al.
Published: (2025)
LEACH-RLC: Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning
by: Jurado-Lasso, F. Fernando, et al.
Published: (2024)
by: Jurado-Lasso, F. Fernando, et al.
Published: (2024)
A Deep Reinforcement Learning Framework for Optimizing Congestion Control in Data Centers
by: Ketabi, Shiva, et al.
Published: (2023)
by: Ketabi, Shiva, et al.
Published: (2023)
Similar Items
-
The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
by: Zhao, Yuqi, et al.
Published: (2025) -
Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
by: Tao, Zhenyu, et al.
Published: (2023) -
Data Augmentation for Traffic Classification
by: Wang, Chao, et al.
Published: (2024) -
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
by: Geng, Jiaxiang, et al.
Published: (2024) -
Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis
by: Wen, Dong, et al.
Published: (2024)