Cover Image

Generalized few-shot transfer learning architecture for modeling the EDFA gain spectrum

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Raj, Agastya, Wang, Zehao, Chen, Tingjun, Kilper, Daniel C, Ruffini, Marco
Format:	Preprint
Published:	2025
Subjects:	Networking and Internet Architecture Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Transfer Learning for EDFA Gain Modeling: A Semi-Supervised Approach Using Internal Amplifier Features
by: Raj, Agastya, et al.
Published: (2025)

Multi-Span Optical Power Spectrum Evolution Modeling using ML-based Multi-Decoder Attention Framework
by: Raj, Agastya, et al.
Published: (2025)

Interference Identification in Multi-User Optical Spectrum as a Service using Convolutional Neural Networks
by: Raj, Agastya, et al.
Published: (2025)

Interference Detection in Spectrum-Blind Multi-User Optical Spectrum as a Service
by: Raj, Agastya, et al.
Published: (2025)

Real-Time Streaming Telemetry Based Detection and Mitigation of OOK and Power Interference in Multi-User OSaaS Networks
by: Raj, Agastya, et al.
Published: (2025)

Spectrum Configuration Framework for Throughput Maximization in Open Systems with Roll-Off-Based QoT Optimization
by: Pahlevanzadeh, Peyman, et al.
Published: (2026)

Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G
by: Dzaferagic, Merim, et al.
Published: (2025)

Entanglement Purification With Finite Latency Classical Communication in Quantum Networks
by: Vasan, Vivek, et al.
Published: (2025)

Energy Consumption in Next Generation Radio Access Networks
by: Tariq, Urooj, et al.
Published: (2026)

Design and Analysis of Power Consumption Models for Open-RAN Architectures
by: Tariq, Urooj, et al.
Published: (2025)

ML-based handover prediction over a real O-RAN deployment using RAN Intelligent controller
by: Dzaferagic, Merim, et al.
Published: (2024)

Control Protocol for Entangled Pair Verification in Quantum Optical Networks
by: Vasan, Vivek, et al.
Published: (2024)

Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases
by: Li, Yiming, et al.
Published: (2023)

Routing and Spectrum Allocation in Broadband Degenerate EPR-Pair Distribution
by: Bali, Rohan, et al.
Published: (2023)

Real-Time Capable, Low-latency Upstream Scheduling in Multi-Tenant, SLA Compliant TWDM PON
by: Ganguli, Arijeet, et al.
Published: (2025)

Low-Latency Upstream Scheduling in Multi-Tenant, SLA Compliant TWDM PON
by: Ganguli, Arijeet, et al.
Published: (2024)

Link-Aware Energy-Frugal Continual Learning for Fault Detection in IoT Networks
by: Frederiksen, Henrik C. M., et al.
Published: (2025)

Beyond Redundancy: Toward Agile Resilience in Optical Networks to Overcome Unpredictable Disasters
by: Mano, Toru, et al.
Published: (2025)

Machine learning-based decentralized TDMA for VLC IoT networks
by: Makvandi, Armin, et al.
Published: (2023)

Improved Q-learning based Multi-hop Routing for UAV-Assisted Communication
by: Sharvari, N P, et al.
Published: (2024)

GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks
by: Liang, Ruihuai, et al.
Published: (2024)

On the Optimization and Stability of Sectorized Wireless Networks
by: Promponas, Panagiotis, et al.
Published: (2023)

The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
by: Zhao, Yuqi, et al.
Published: (2025)

Automatic Generation of Digital Twins for Network Testing
by: Ding, Shenjia, et al.
Published: (2025)

Data-driven Intra-Autonomous Systems Graph Generator
by: Dadauto, Caio Vinicius, et al.
Published: (2023)

Agent-driven Generative Semantic Communication with Cross-Modality and Prediction
by: Yang, Wanting, et al.
Published: (2024)

TSKAN: Interpretable Machine Learning for QoE modeling over Time Series Data
by: Singh, Kamal, et al.
Published: (2025)

ReaCritic: Reasoning Transformer-based DRL Critic-model Scaling For Wireless Networks
by: You, Feiran, et al.
Published: (2025)

Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases
by: Sun, Geng, et al.
Published: (2024)

Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation
by: Grayeli, Arya, et al.
Published: (2025)

Generative QoE Modeling: A Lightweight Approach for Telecom Networks
by: Nayar, Vinti, et al.
Published: (2025)

Multi-Task Learning as enabler for General-Purpose AI-native RAN
by: Farooq, Hasan, et al.
Published: (2024)

DiffSG: A Generative Solver for Network Optimization with Diffusion Model
by: Liang, Ruihuai, et al.
Published: (2024)

TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs
by: Yilma, Girma M., et al.
Published: (2024)

Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models
by: Wen, Jinbo, et al.
Published: (2024)

Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
by: Tao, Zhenyu, et al.
Published: (2023)

Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses
by: Kang, Yingkai, et al.
Published: (2025)

Real-Time Network Traffic Forecasting with Missing Data: A Generative Model Approach
by: Deng, Lei, et al.
Published: (2025)

Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning
by: Rezazadeh, Farhad, et al.
Published: (2025)

Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches
by: Gao, Xiaozheng, et al.
Published: (2025)