Copertina

Adaptive Biased User Scheduling for Heterogeneous Wireless Federate Learning Network

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wu, Changxiang, Ren, Yijing, So, Daniel K. C., Tang, Jie
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

RIS-Assisted Simultaneous Legitimate Monitoring and Jamming for Industrial Wireless Networks
di: Zhang, Likang, et al.
Pubblicazione: (2024)

Adaptive Scheduling: A Reinforcement Learning Whittle Index Approach for Wireless Sensor Networks
di: Jonah, Sokipriala, et al.
Pubblicazione: (2026)

Fairness-Aware Multi-Server Federated Learning Task Delegation over Wireless Networks
di: Gao, Yulan, et al.
Pubblicazione: (2024)

Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks
di: Luo, Bing, et al.
Pubblicazione: (2024)

Adaptive Decentralized Federated Learning in Energy and Latency Constrained Wireless Networks
di: Yan, Zhigang, et al.
Pubblicazione: (2024)

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

Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
di: Pang, Gaoyang, et al.
Pubblicazione: (2021)

The Impact of Interference Cognition on the Reliability and Capacity of Industrial Wireless Communications
di: Guo, Yichen, et al.
Pubblicazione: (2026)

Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks
di: Zheng, Paul, et al.
Pubblicazione: (2025)

Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
di: Choutri, Salah Eddine, et al.
Pubblicazione: (2025)

Revenue Optimization in Wireless Video Caching Networks: A Privacy-Preserving Two-Stage Solution
di: Zhang, Yijing, et al.
Pubblicazione: (2025)

A Timing-Anomaly Free Dynamic Scheduling on Heterogeneous Systems
di: Zhu, Yixuan, et al.
Pubblicazione: (2026)

Optimal Downlink-Uplink Scheduling of Wireless Networked Control for Industrial IoT
di: Huang, Kang, et al.
Pubblicazione: (2019)

Stabilizing Scheduling Policies for Networked Control Systems
di: Kundu, Atreyee, et al.
Pubblicazione: (2019)

Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks
di: Wang, Zixin, et al.
Pubblicazione: (2024)

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

Learning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition
di: Wu, Shuang, et al.
Pubblicazione: (2018)

Intelligent Adaptive Metasurface in Complex Wireless Environments
di: Yang, Han Qing, et al.
Pubblicazione: (2024)

Petri Net Modeling and Deadlock-Free Scheduling of Attachable Heterogeneous AGV Systems
di: Li, Boyu, et al.
Pubblicazione: (2025)

Frequency Security-Aware Production Scheduling of Utility-Scale Off-Grid Renewable P2H Systems Coordinating Heterogeneous Electrolyzers
di: Zhu, Jie, et al.
Pubblicazione: (2026)

IRS-User Association in IRS-Aided MISO Wireless Networks: Convex Optimization and Machine Learning Approaches
di: Amiriara, Hamid, et al.
Pubblicazione: (2022)

Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
di: Zhao, Zihuai, et al.
Pubblicazione: (2022)

Learning Wireless Interference Patterns: Decoupled GNN for Throughput Prediction in Heterogeneous Multi-Hop p-CSMA Networks
di: Tarzjani, Faezeh Dehghan, et al.
Pubblicazione: (2025)

Decision-Focused Learning for Neural Network-Constrained HVAC Scheduling
di: Favaro, Pietro, et al.
Pubblicazione: (2025)

Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
di: Zhang, Chenyu, et al.
Pubblicazione: (2024)

Multi-User Content Diversity in Wireless Networks
di: Korany, Belal, et al.
Pubblicazione: (2026)

Max-Min Fair Sensor Scheduling: Game-theoretic Perspective and Algorithmic Solution
di: Wu, Shuang, et al.
Pubblicazione: (2019)

Multi-Task Lifelong Reinforcement Learning for Wireless Sensor Networks
di: Firouzjaei, Hossein Mohammadi, et al.
Pubblicazione: (2025)

Multi-Sensor Scheduling for Remote State Estimation over Wireless MIMO Fading Channels with Semantic Over-the-Air Aggregation
di: Tang, Minjie, et al.
Pubblicazione: (2026)

Lightweight Federated Learning in Mobile Edge Computing with Statistical and Device Heterogeneity Awareness
di: Tan, Jinghong, et al.
Pubblicazione: (2025)

Adaptive Real-Time Scheduling Algorithms for Embedded Systems
di: Benmachiche, Abdelmadjid, et al.
Pubblicazione: (2025)

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

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

Adaptive Cooperative Streaming of Holographic Video Over Wireless Networks: A Proximal Policy Optimization Solution
di: Wen, Wanli, et al.
Pubblicazione: (2024)

Distributed Adaptive Consensus with Obstacle and Collision Avoidance for Networks of Heterogeneous Multi-Agent Systems
di: Koulong, Armel, et al.
Pubblicazione: (2024)

Optimal Batched Scheduling of Stochastic Processing Networks Using Atomic Action Decomposition
di: Dai, Jim, et al.
Pubblicazione: (2025)

Efficient Integration of Distributed Learning Services in Next-Generation Wireless Networks
di: Zheng, Paul, et al.
Pubblicazione: (2025)

Adaptive Federated Learning to Optimize Integrated Flows in Cyber-Physical Data Centers
di: Liu, Junhong, et al.
Pubblicazione: (2025)

Resilient Control for Networked Switched Systems With/Without ACK: An Active Quantized Framework
di: Zhao, Rui, et al.
Pubblicazione: (2025)

Enabling Multicast Transmission for Spatio-Temporally Asynchronous User Requests in Wireless Environments
di: Lee, Hojung, et al.
Pubblicazione: (2024)