Buchumschlag

Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Abdisarabshali, Payam, Accurso, Nicholas, Malandra, Filippo, Su, Weifeng, Hosseinalipour, Seyyedali
Format:	Preprint
Veröffentlicht:	2023
Schlagworte:	Networking and Internet Architecture Artificial Intelligence Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection
von: Abdisarabshali, Payam, et al.
Veröffentlicht: (2024)

Graph Theory Meets Federated Learning over Satellite Constellations: Spanning Aggregations, Network Formation, and Performance Optimization
von: Nadimi, Fardis, et al.
Veröffentlicht: (2025)

inRAN: Interpretable Online Bayesian Learning for Network Automation in Open Radio Access Networks
von: Zhao, Ming, et al.
Veröffentlicht: (2026)

Federated Foundation Models in Harsh Wireless Environments: Prospects, Challenges, and Future Directions
von: Chen, Evan, et al.
Veröffentlicht: (2025)

Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning
von: Shaon, Shaba, et al.
Veröffentlicht: (2025)

Seamless Graph Task Scheduling over Dynamic Vehicular Clouds: A Hybrid Methodology for Integrating Pilot and Instantaneous Decisions
von: Guo, Bingshuo, et al.
Veröffentlicht: (2025)

Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
von: Wang, Su, et al.
Veröffentlicht: (2023)

FUSION: Forecast-Embedded Agent Scheduling with Service Incentive Optimization over Distributed Air-Ground Edge Networks
von: Qi, Houyi, et al.
Veröffentlicht: (2025)

Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
von: Borazjani, Kasra, et al.
Veröffentlicht: (2025)

Agentic Open RAN: A Deterministic and Auditable Framework for Intent-Driven Radio Control
von: Li, Hengxu, et al.
Veröffentlicht: (2026)

Intent-based Radio Scheduler for RAN Slicing: Learning to deal with different network scenarios
von: Nahum, Cleverson, et al.
Veröffentlicht: (2025)

Artificial Intelligence in Open Radio Access Network
von: Masur, Paul H., et al.
Veröffentlicht: (2021)

From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks
von: Salihovic, Allan, et al.
Veröffentlicht: (2025)

InSlicing: Interpretable Learning-Assisted Network Slice Configuration in Open Radio Access Networks
von: Zhao, Ming, et al.
Veröffentlicht: (2025)

Enabling Deep Reinforcement Learning Research for Energy Saving in Open RAN
von: Bordin, Matteo, et al.
Veröffentlicht: (2026)

Design and Evaluation of Deep Reinforcement Learning for Energy Saving in Open RAN
von: Bordin, Matteo, et al.
Veröffentlicht: (2024)

Joint Routing, Resource Allocation, and Energy Optimization for Integrated Access and Backhaul with Open RAN
von: Prasad, Reshma, et al.
Veröffentlicht: (2025)

AutoRAN: Automated and Zero-Touch Open RAN Systems
von: Maxenti, Stefano, et al.
Veröffentlicht: (2025)

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration
von: Ahmed, Faisal, et al.
Veröffentlicht: (2025)

Performance Characterization of dApps in Open Radio Access Networks
von: Boeira, Conrado, et al.
Veröffentlicht: (2026)

ScalO-RAN: Energy-aware Network Intelligence Scaling in Open RAN
von: Maxenti, Stefano, et al.
Veröffentlicht: (2023)

Open RAN Slicing with Quantum Optimization
von: Keyela, Patatchona, et al.
Veröffentlicht: (2025)

Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing
von: Roy, Swastika, et al.
Veröffentlicht: (2023)

PandORA: Automated Design and Comprehensive Evaluation of Deep Reinforcement Learning Agents for Open RAN
von: Tsampazi, Maria, et al.
Veröffentlicht: (2024)

HexRAN: A Programmable Approach to Open RAN Base Station System Design
von: Kak, Ahan, et al.
Veröffentlicht: (2023)

Demonstration of Cooperative Transport Interface over Open Source 7.2 split RAN and Virtualised Open PON Network
von: Dzaferagic, Merim, et al.
Veröffentlicht: (2025)

A Survey on Open Radio Access Networks: Challenges, Research Directions, and Open Source Approaches
von: Azariah, Wilfrid, et al.
Veröffentlicht: (2022)

Federated Reinforcement Learning to Optimize Teleoperated Driving Networks
von: Bragato, Filippo, et al.
Veröffentlicht: (2024)

Causal Online Learning of Safe Regions in Cloud Radio Access Networks
von: Hammar, Kim, et al.
Veröffentlicht: (2026)

PACIFISTA: Conflict Evaluation and Management in Open RAN
von: del Prever, Pietro Brach, et al.
Veröffentlicht: (2024)

Renewable Energy Powered and Open RAN-based Architecture for 5G Fixed Wireless Access Provisioning in Rural Areas
von: Ndikumana, Anselme, et al.
Veröffentlicht: (2024)

Advancements in Mobile Edge Computing and Open RAN: Leveraging Artificial Intelligence and Machine Learning for Wireless Systems
von: Barker, Ryan, et al.
Veröffentlicht: (2025)

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

Digital Twin Backed Closed-Loops for Energy-Aware and Open RAN-based Fixed Wireless Access Serving Rural Areas
von: Ndikumana, Anselme, et al.
Veröffentlicht: (2024)

Adapting LoRaWAN to the Open-RAN Architecture
von: Alfayoumi, Sobhi, et al.
Veröffentlicht: (2024)

An intensive vRAN deployment with OpenAirInterface
von: Beurdouche, Romain, et al.
Veröffentlicht: (2026)

An Open, Programmable, Multi-vendor 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface
von: Villa, Davide, et al.
Veröffentlicht: (2023)

Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing
von: Roy, Swastika, et al.
Veröffentlicht: (2023)

Open RAN-Enabled Deep Learning-Assisted Mobility Management for Connected Vehicles
von: Barbosa, Maria, et al.
Veröffentlicht: (2024)

Twinning Commercial Network Traces on Experimental Open RAN Platforms
von: Bonati, Leonardo, et al.
Veröffentlicht: (2024)