Cover Image

FitNets: An Adaptive Framework to Learn Accurate Traffic Distributions

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dietmüller, Alexander, Alcoz, Albert Gran, Vanbever, Laurent
Format:	Preprint
Published:	2024
Subjects:	Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Sample Selection for Continual Learning: a Video Streaming Case Study
by: Dietmüller, Alexander, et al.
Published: (2024)

Five Blind Men and the Internet: Towards an Understanding of Internet Traffic
by: Kirci, Ege Cem, et al.
Published: (2025)

Faster Offloads by Unloading them -- The RDMA Case
by: Fragkouli, Georgia, et al.
Published: (2025)

Benchmarking LLM-Driven Network Configuration Repair
by: Protogeros, Ioannis, et al.
Published: (2026)

The Effects of iBGP Convergence
by: Schmid, Roland, et al.
Published: (2025)

Offloading L7 Policies to the Kernel
by: Brandner, Laurin, et al.
Published: (2026)

Is Crunching Public Data the Right Approach to Detect BGP Hijacks?
by: Giaconia, Alessandro, et al.
Published: (2025)

RevealNet: Distributed Traffic Correlation for Attack Attribution on Programmable Networks
by: Singh, Gurjot, et al.
Published: (2025)

PolicyCache-SDN: Hierarchical Intra-Path Learning for Adaptive SDN Traffic Control
by: Jia, Wenyang, et al.
Published: (2026)

Synecdoche: Efficient and Accurate In-Network Traffic Classification via Direct Packet Sequential Pattern Matching
by: Xiao, Minyuan, et al.
Published: (2025)

A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation
by: Panda, Saroj Kumar, et al.
Published: (2025)

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

Hyper-parameter Optimization for Wireless Network Traffic Prediction Models with A Novel Meta-Learning Framework
by: Wang, Liangzhi, et al.
Published: (2024)

On the Role of Time Series Clustering in Traffic Matrix Prediction
by: Cash, Martha, et al.
Published: (2026)

Learning Cache Coherence Traffic for NoC Routing Design
by: Xiong, Guochu, et al.
Published: (2025)

GATE: GPU-Accelerated Traffic Engineering for the WAN
by: Bothra, Rahul, et al.
Published: (2026)

Network Traffic Classification Using Self-Supervised Learning and Confident Learning
by: Eslami, Ehsan, et al.
Published: (2025)

Packet-Level Traffic Modeling with Heavy-Tailed Payload and Inter-Arrival Distributions for Digital Twins
by: Koktas, Enes, et al.
Published: (2025)

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

Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
by: Ponraj, Riya, et al.
Published: (2025)

GRU-Based Learning for the Identification of Congestion Protocols in TCP Traffic
by: Bergeron, Paul, et al.
Published: (2025)

FlexScatter: Predictive Scheduling and Adaptive Rateless Coding for Wi-Fi Backscatter Communications in Dynamic Traffic Conditions
by: He, Xin, et al.
Published: (2024)

Performance Evaluation of Multimedia Traffic in Cloud Storage Services over Wi-Fi and LTE Networks
by: Espinal, Albert, et al.
Published: (2025)

Binary VPN Traffic Detection Using Wavelet Features and Machine Learning
by: Razooqi, Yasameen Sajid, et al.
Published: (2025)

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

NetMind: Adaptive RAN Baseband Function Placement by GCN Encoding and Maze-solving DRL
by: Li, Haiyuan, et al.
Published: (2024)

Prioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics
by: Fang, Zhengru, et al.
Published: (2024)

Encrypted Traffic Detection in Resource Constrained IoT Networks: A Diffusion Model and LLM Integrated Framework
by: Li, Hongjuan, et al.
Published: (2025)

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

Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach
by: Habib, Md Arafat, et al.
Published: (2024)

NetSatBench: A Distributed LEO Constellation Emulator with an SRv6 Case Study
by: Detti, Andrea, et al.
Published: (2026)

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

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

Learning Automata-Based Enhancements to RPL: Pioneering Load-Balancing and Traffic Management in IoT
by: Homaei, Mohammadhossein
Published: (2024)

Chain-of-Thought Reasoning Enhances In-Context Learning for LLM-Based Mobile Traffic Prediction
by: Ghadaksaz, MohammadMahdi, et al.
Published: (2026)

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

Near-optimal Online Traffic Engineering
by: Ghavidel, Arvin, et al.
Published: (2026)

Traffic Modeling with SUMO: a Tutorial
by: Guastella, Davide Andrea, et al.
Published: (2023)

MiddleNet: A Unified, High-Performance NFV and Middlebox Framework with eBPF and DPDK
by: Qi, Shixiong, et al.
Published: (2023)

A Framework for Multi-source Prefetching Through Adaptive Weight
by: Alebachew, Yoseph Berhanu, et al.
Published: (2025)