Cover Image

Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mahmoudi, Afsaneh, Björnson, Emil
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Networking and Internet Architecture Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Joint Energy and Latency Optimization in Federated Learning over Cell-Free Massive MIMO Networks
by: Mahmoudi, Afsaneh, et al.
Published: (2024)

Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks
by: Wu, Zheshun, et al.
Published: (2023)

FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks
by: Etiabi, Yaya, et al.
Published: (2024)

Learning Power Control Protocol for In-Factory 6G Subnetworks
by: Uyoata, Uyoata E., et al.
Published: (2025)

Blockchain-enabled Clustered and Scalable Federated Learning (BCS-FL) Framework in UAV Networks
by: Hafeez, Sana, et al.
Published: (2024)

Learning Non-myopic Power Allocation in Constrained Scenarios
by: Chowdhury, Arindam, et al.
Published: (2024)

Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
by: Yang, Kai, et al.
Published: (2020)

SAFE: Semantic Adaptive Feature Extraction with Rate Control for 6G Wireless Communications
by: Yan, Yuna, et al.
Published: (2024)

Mobile Jamming Mitigation in 5G Networks: A MUSIC-Based Adaptive Beamforming Approach
by: Holguin, Olivia, et al.
Published: (2025)

Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals
by: Kompella, Srihari Kamesh, et al.
Published: (2024)

Teacher-Student Learning based Low Complexity Relay Selection in Wireless Powered Communications
by: Onalan, Aysun Gurur, et al.
Published: (2024)

Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks
by: Zhao, Ruili, et al.
Published: (2024)

Sensor Placement for Learning in Flow Networks
by: Burudgunte, Arnav, et al.
Published: (2023)

Graph Representation Learning for Contention and Interference Management in Wireless Networks
by: Gu, Zhouyou, et al.
Published: (2024)

Decentralized Covert Routing in Heterogeneous Networks Using Reinforcement Learning
by: Kong, Justin, et al.
Published: (2024)

Learning State-Augmented Policies for Information Routing in Communication Networks
by: Das, Sourajit, et al.
Published: (2023)

Learning Coverage- and Power-Optimal Transmitter Placement from Building Maps: A Comparative Study of Direct and Indirect Neural Approaches
by: Yapar, Çağkan
Published: (2026)

Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO
by: Park, Sangwoo, et al.
Published: (2024)

Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networks
by: Bozkus, Talha, et al.
Published: (2024)

Coverage Analysis of Multi-Environment Q-Learning Algorithms for Wireless Network Optimization
by: Bozkus, Talha, et al.
Published: (2024)

Knowledge-Driven Deep Learning Paradigms for Wireless Network Optimization in 6G
by: Sun, Ruijin, et al.
Published: (2024)

Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models
by: Bakirtzis, Stefanos, et al.
Published: (2024)

Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning
by: Giwa, Oluwaseyi, et al.
Published: (2025)

FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization
by: Qu, Linping, et al.
Published: (2024)

Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation
by: Fang, Zexin, et al.
Published: (2024)

Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels
by: Xie, Bingyan, et al.
Published: (2025)

Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks
by: Tashman, Deemah H., et al.
Published: (2025)

Tiny Graph Neural Networks for Radio Resource Management
by: Ghasemi, Ahmad, et al.
Published: (2024)

Graph Neural Networks Based Anomalous RSSI Detection
by: Bertalanič, Blaž, et al.
Published: (2025)

RSSI Estimation for Constrained Indoor Wireless Networks using ANN
by: Arif, Samrah, et al.
Published: (2024)

Edge Large AI Models: Revolutionizing 6G Networks
by: Wang, Zixin, et al.
Published: (2025)

Learning Cellular Network Connection Quality with Conformal
by: Jiang, Hanyang, et al.
Published: (2024)

Toward Resilient 5G Networks: Comparative Analysis of Federated and Centralized Learning for RF Jamming Detection
by: Kuili, Samhita, et al.
Published: (2026)

LLM-Based Emulation of the Radio Resource Control Layer: Towards AI-Native RAN Protocols
by: Liu, Ziming, et al.
Published: (2025)

Data-Driven Radio Environment Map Estimation Using Graph Neural Networks
by: Shibli, Ali, et al.
Published: (2024)

One-Class Classification as GLRT for Jamming Detection in Private 5G Networks
by: Varotto, Matteo, et al.
Published: (2024)

Trustworthy Federated Learning via Blockchain
by: Yang, Zhanpeng, et al.
Published: (2022)

Joint User and Data Detection in Grant-Free NOMA with Attention-based BiLSTM Network
by: Khan, Saud, et al.
Published: (2022)

Graph Neural Network Based Hybrid Beamforming Design in Wideband Terahertz MIMO-OFDM Systems
by: Li, Beier, et al.
Published: (2025)

CacheMamba: Popularity Prediction for Mobile Edge Caching Networks via Selective State Spaces
by: Kianfar, Ghazaleh, et al.
Published: (2025)