Cover Image

Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Xiaoyu, Li, Weicai, Lv, Tiejun, Yu, Xi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Networking and Internet Architecture
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks
by: Huang, Yudi, et al.
Published: (2024)

Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
by: Pervej, Md Ferdous, et al.
Published: (2023)

Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
by: Liu, Xiaonan, et al.
Published: (2023)

Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning
by: Gau, Rung-Hung, et al.
Published: (2024)

Route-and-Aggregate Decentralized Federated Learning Under Communication Errors
by: Li, Weicai, et al.
Published: (2025)

DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks
by: Jeong, Eunjeong, et al.
Published: (2024)

Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networks
by: Zhang, Junhe, et al.
Published: (2024)

Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
by: Mahdimahalleh, Sajjad Emdadi
Published: (2023)

Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
by: Geng, Jiaxiang, et al.
Published: (2024)

AMHRP: Adaptive Multi-Hop Routing Protocol to Improve Network Lifetime for Multi-Hop Wireless Body Area Network
by: Yaqoob, Muhammad Mateen, et al.
Published: (2025)

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

Decentralized Rank Scheduling for Energy-Constrained Multi-Task Federated Fine-Tuning in Edge-Assisted IoV Networks
by: Zheng, Bokeng, et al.
Published: (2025)

Context-Aware Hybrid Routing in Bluetooth Mesh Networks Using Multi-Model Machine Learning and AODV Fallback
by: Islam, Md Sajid, et al.
Published: (2025)

Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
by: Sun, Tingyang, et al.
Published: (2025)

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
by: Sun, Yuchang, et al.
Published: (2021)

Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective
by: Taya, Akihito, et al.
Published: (2026)

Joint Semantic Coding and Routing for Multi-Hop Semantic Transmission in LEO Satellite Networks
by: Zeng, Hong, et al.
Published: (2026)

ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
by: Zhu, Guangyu, et al.
Published: (2024)

Federated Learning with Multi-resolution Model Broadcast
by: Rydén, Henrik, et al.
Published: (2024)

Personalized Hierarchical Split Federated Learning in Wireless Networks
by: Pervej, Md-Ferdous, et al.
Published: (2024)

Offline to Online Learning for Real-Time Bandwidth Estimation
by: Gottipati, Aashish, et al.
Published: (2023)

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data
by: Ni, Zhou, et al.
Published: (2025)

Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
by: Li, Zuguang, et al.
Published: (2024)

A Multi-Agent, Policy-Gradient approach to Network Routing
by: Tao, Nigel, et al.
Published: (2025)

Scheduling in Multi-Hop Wireless Networks With Deadlines
by: Jones, Nicholas, et al.
Published: (2026)

Rethinking Clustered Federated Learning in NOMA Enhanced Wireless Networks
by: Lin, Yushen, et al.
Published: (2024)

Machine Learning Epidemic Predictions Using Agent-based Wireless Sensor Network Models
by: Nwokoye, Chukwunonso Henry, et al.
Published: (2025)

Smart Routing with Precise Link Estimation: DSEE-Based Anypath Routing for Reliable Wireless Networking
by: Nourzad, Narjes, et al.
Published: (2024)

Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks
by: Pervej, Md Ferdous, et al.
Published: (2023)

Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks
by: Pervej, Md Ferdous, et al.
Published: (2024)

Digital versus Analog Transmissions for Federated Learning over Wireless Networks
by: Yao, Jiacheng, et al.
Published: (2024)

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

Securing SIM-Assisted Wireless Networks via Quantum Reinforcement Learning
by: Hoang, Le-Hung, et al.
Published: (2026)

Fair Dynamic Spectrum Access via Fully Decentralized Multi-Agent Reinforcement Learning
by: Zhang, Yubo, et al.
Published: (2025)

Optimizing Age of Trust and Throughput in Multi-Hop UAV-Aided IoT Networks
by: Luo, Yizhou, et al.
Published: (2025)

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

Federated Hyperdimensional Computing for Resource-Constrained Industrial IoT
by: Zeulin, Nikita, et al.
Published: (2026)

Hybrid-Task Meta-Learning: A GNN Approach for Scalable and Transferable Bandwidth Allocation
by: Hao, Xin, et al.
Published: (2023)

Efficient Split Federated Learning for Large Language Models over Communication Networks
by: Zhao, Kai, et al.
Published: (2025)

A Novel Reinforcement Learning Routing Algorithm for Congestion Control in Complex Networks
by: Yajadda, Seyed Hassan, et al.
Published: (2023)