Cover Image

HyperFedNet: Communication-Efficient Personalized Federated Learning Via Hypernetwork

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Xingyun, Huang, Yan, Xie, Zhenzhen, Pang, Junjie
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

FedsLLM: Federated Split Learning for Large Language Models over Communication Networks
by: Zhao, Kai, et al.
Published: (2024)

Collaborative Optimization of Wireless Communication and Computing Resource Allocation based on Multi-Agent Federated Weighting Deep Reinforcement Learning
by: Wu, Junjie, et al.
Published: (2024)

FedJam: Multimodal Federated Learning Framework for Jamming Detection
by: Panitsas, Ioannis, et al.
Published: (2025)

PERFECT: Personalized Federated Learning for CBRS Radar Detection
by: Khan, Shafi Ullah, et al.
Published: (2026)

SmartFLow: A Communication-Efficient SDN Framework for Cross-Silo Federated Learning
by: Hamdan, Osama Abu, et al.
Published: (2025)

Energy-Efficient RSMA-enabled Low-altitude MEC Optimization Via Generative AI-enhanced Deep Reinforcement Learning
by: Wang, Xudong, et al.
Published: (2025)

FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View
by: Ye, Wenxuan, et al.
Published: (2025)

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

FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing
by: Chua, Terence Jie, et al.
Published: (2023)

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

Spectral Co-Distillation for Personalized Federated Learning
by: Chen, Zihan, et al.
Published: (2024)

FedMeld: A Model-dispersal Federated Learning Framework for Space-ground Integrated Networks
by: Chen, Qian, et al.
Published: (2024)

Adaptive Personalized Federated Reinforcement Learning for RIS-Assisted Aerial Relays in SAGINs with Fluid Antennas
by: Yang, Yuxuan, et al.
Published: (2026)

FedKit: Enabling Cross-Platform Federated Learning for Android and iOS
by: He, Sichang, et al.
Published: (2024)

Personalized Federated Learning for Statistical Heterogeneity
by: Firdaus, Muhammad, et al.
Published: (2024)

Responsible Federated Learning in Smart Transportation: Outlooks and Challenges
by: Huang, Xiaowen, et al.
Published: (2024)

Ubiquitous Intelligence Via Wireless Network-Driven LLMs Evolution
by: Yin, Xingkun, et al.
Published: (2025)

NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
by: Meng, Kechen, et al.
Published: (2026)

Federated Learning Meets Random Access: Energy-Efficient Uplink Resource Allocation
by: Perin, Giovanni, et al.
Published: (2026)

REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks
by: Gad, Eyad, et al.
Published: (2025)

GreenFLag: A Green Agentic Approach for Energy-Efficient Federated Learning
by: Panagea, Theodora, et al.
Published: (2026)

REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks
by: Yu, Zhiwei, et al.
Published: (2025)

FedSkipTwin: Digital-Twin-Guided Client Skipping for Communication-Efficient Federated Learning
by: Commey, Daniel, et al.
Published: (2025)

Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things
by: Ayepah-Mensah, Daniel, et al.
Published: (2024)

Optimizing NetGPT via Routing-Based Synergy and Reinforcement Learning
by: Chen, Yuxuan, 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)

Improving Energy Efficiency in Federated Learning Through the Optimization of Communication Resources Scheduling of Wireless IoT Networks
by: de Oliveira, Renan R., et al.
Published: (2024)

Enhanced-BLE: A Hybrid BLE-ESB Framework for Dynamically Reconfigurable and Energy-Efficient 2.4 GHz IoT Communication
by: Zhou, Ziyao, et al.
Published: (2026)

FlocOff: Data Heterogeneity Resilient Federated Learning with Communication-Efficient Edge Offloading
by: Ma, Mulei, et al.
Published: (2024)

SkyNetPredictor: Network Performance Prediction in Avionic Communication using AI
by: Mukhtar, Hind, et al.
Published: (2025)

FedSelect-ME: A Secure Multi-Edge Federated Learning Framework with Adaptive Client Scoring
by: Vatani, Hanie, et al.
Published: (2025)

M$^2$FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices
by: Nepal, Manjil, et al.
Published: (2026)

Mobility-Aware Multi-Task Decentralized Federated Learning for Vehicular Networks: Modeling, Analysis, and Optimization
by: Chen, Dongyu, et al.
Published: (2025)

RELIEF: Turning Missing Modalities into Training Acceleration for Federated Learning on Heterogeneous IoT Edge
by: Wu, Beining, et al.
Published: (2026)

SplitCom: Communication-efficient Split Federated Fine-tuning of LLMs via Temporal Compression
by: Li, Tao, et al.
Published: (2026)

Optimizing Split Federated Learning with Unstable Client Participation
by: Wei, Wei, et al.
Published: (2025)

CP-AgentNet: Autonomous and Explainable Communication Protocol Design Using Generative Agents
by: Kwon, Dae Cheol, et al.
Published: (2025)

FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
by: Yuan, Liangqi, et al.
Published: (2023)

FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method
by: Sun, Shihua, et al.
Published: (2024)

Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation
by: Chen, Evan, et al.
Published: (2025)