Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Chung-Hsuan, Chen, Zheng, Larsson, Erik G. |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
by: Hu, Chung-Hsuan, et al.
Published: (2024)
by: Hu, Chung-Hsuan, et al.
Published: (2024)
Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks
by: Herrera, Daniel Pérez, et al.
Published: (2024)
by: Herrera, Daniel Pérez, et al.
Published: (2024)
Over-the-Air Federated Learning with Phase Noise: Analysis and Countermeasures
by: Dahl, Martin, et al.
Published: (2024)
by: Dahl, Martin, et al.
Published: (2024)
Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations
by: Edin, Adrian, et al.
Published: (2026)
by: Edin, Adrian, et al.
Published: (2026)
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
by: Shi, Yuanming, et al.
Published: (2024)
by: Shi, Yuanming, et al.
Published: (2024)
Temporal Predictive Coding for Gradient Compression in Distributed Learning
by: Edin, Adrian, et al.
Published: (2024)
by: Edin, Adrian, et al.
Published: (2024)
Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs
by: Jia, Ziye, et al.
Published: (2025)
by: Jia, Ziye, et al.
Published: (2025)
Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks
by: Zheng, Ce, et al.
Published: (2026)
by: Zheng, Ce, et al.
Published: (2026)
Feature-Based Semantics-Aware Scheduling for Energy-Harvesting Federated Learning
by: Jeong, Eunjeong, et al.
Published: (2025)
by: Jeong, Eunjeong, et al.
Published: (2025)
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework
by: Larsson, Erik G., et al.
Published: (2025)
by: Larsson, Erik G., et al.
Published: (2025)
OrcoDCS: An IoT-Edge Orchestrated Online Deep Compressed Sensing Framework
by: Ching, Cheng-Wei, et al.
Published: (2023)
by: Ching, Cheng-Wei, et al.
Published: (2023)
Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks
by: Zhang, Kai, et al.
Published: (2025)
by: Zhang, Kai, et al.
Published: (2025)
Waveform Design for Over-the-Air Computing
by: Evgenidis, Nikos G., et al.
Published: (2024)
by: Evgenidis, Nikos G., et al.
Published: (2024)
Sparse Incremental Aggregation in Multi-Hop Federated Learning
by: Mukherjee, Sourav, et al.
Published: (2024)
by: Mukherjee, Sourav, et al.
Published: (2024)
IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff
by: Chen, Guangji, et al.
Published: (2024)
by: Chen, Guangji, et al.
Published: (2024)
Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks
by: Saha, Rajarshi, et al.
Published: (2024)
by: Saha, Rajarshi, et al.
Published: (2024)
Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats
by: Demir, Utku, et al.
Published: (2025)
by: Demir, Utku, et al.
Published: (2025)
Effect of Full Common Randomness Replication in Symmetric PIR on Graph-Based Replicated Systems
by: Meel, Shreya, et al.
Published: (2025)
by: Meel, Shreya, et al.
Published: (2025)
Privacy-Preserving Distributed Maximum Consensus Without Accuracy Loss
by: Yu, Wenrui, et al.
Published: (2024)
by: Yu, Wenrui, et al.
Published: (2024)
SpecFed: Accelerating Federated LLM Inference with Speculative Decoding and Compressed Transmission
by: Zheng, Ce, et al.
Published: (2026)
by: Zheng, Ce, et al.
Published: (2026)
Lean Clients, Full Accuracy: Hybrid Zeroth- and First-Order Split Federated Learning
by: Kou, Zhoubin, et al.
Published: (2026)
by: Kou, Zhoubin, et al.
Published: (2026)
Design of A Low-Latency and Parallelizable SVD Dataflow Architecture on FPGA
by: Du, Fangqiang, et al.
Published: (2025)
by: Du, Fangqiang, et al.
Published: (2025)
Optimal Expert Selection for Distributed Mixture-of-Experts at the Wireless Edge
by: Qin, Shengling, et al.
Published: (2025)
by: Qin, Shengling, et al.
Published: (2025)
Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis
by: Zhang, Xueyao, et al.
Published: (2024)
by: Zhang, Xueyao, et al.
Published: (2024)
FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling
by: Bastola, Ashish, et al.
Published: (2024)
by: Bastola, Ashish, et al.
Published: (2024)
RCC-PFL: Robust Client Clustering under Noisy Labels in Personalized Federated Learning
by: Ali, Abdulmoneam, et al.
Published: (2025)
by: Ali, Abdulmoneam, et al.
Published: (2025)
Relay Selection and User Equipment Admission in Resource-Efficient NextG Sidelink Communications
by: Sagduyu, Yalin E., et al.
Published: (2025)
by: Sagduyu, Yalin E., et al.
Published: (2025)
Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)
Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)
Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks
by: Yang, Bo, et al.
Published: (2024)
by: Yang, Bo, et al.
Published: (2024)
Toward 6G Native-AI Network: Foundation Model based Cloud-Edge-End Collaboration Framework
by: Chen, Xiang, et al.
Published: (2023)
by: Chen, Xiang, et al.
Published: (2023)
Wireless Sensor Networks Nodes Clustering and Optimization Based on Fuzzy C-Means and Water Strider Algorithms
by: Alsharfa, Raya Majid, et al.
Published: (2025)
by: Alsharfa, Raya Majid, et al.
Published: (2025)
Energy-Aware Federated Learning in Satellite Constellations
by: Razmi, Nasrin, et al.
Published: (2024)
by: Razmi, Nasrin, et al.
Published: (2024)
Handoffs in User-Centric Cell-Free MIMO Networks: A POMDP Framework
by: Ammar, Hussein A., et al.
Published: (2024)
by: Ammar, Hussein A., et al.
Published: (2024)
Breaking the Storage-Bandwidth Tradeoff in Distributed Storage with Quantum Entanglement
by: Hu, Lei, et al.
Published: (2026)
by: Hu, Lei, et al.
Published: (2026)
Randomized Distributed Function Computation (RDFC): Ultra-Efficient Semantic Communication Applications to Privacy
by: Günlü, Onur
Published: (2026)
by: Günlü, Onur
Published: (2026)
Noise-Robust and Resource-Efficient ADMM-based Federated Learning
by: Lari, Ehsan, et al.
Published: (2024)
by: Lari, Ehsan, et al.
Published: (2024)
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach
by: Wang, Bin, et al.
Published: (2024)
by: Wang, Bin, et al.
Published: (2024)
Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT
by: Barbieri, Luca, et al.
Published: (2024)
by: Barbieri, Luca, et al.
Published: (2024)
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT
by: Li, Kai, et al.
Published: (2024)
by: Li, Kai, et al.
Published: (2024)
Similar Items
-
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
by: Hu, Chung-Hsuan, et al.
Published: (2024) -
Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks
by: Herrera, Daniel Pérez, et al.
Published: (2024) -
Over-the-Air Federated Learning with Phase Noise: Analysis and Countermeasures
by: Dahl, Martin, et al.
Published: (2024) -
Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations
by: Edin, Adrian, et al.
Published: (2026) -
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
by: Shi, Yuanming, et al.
Published: (2024)