Saved in:
| Main Authors: | Pereira, Roberto, Vaca-Rubio, Cristian J., Blanco, Luis |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.02289 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Energy-Aware Federated Learning in Satellite Constellations
by: Razmi, Nasrin, et al.
Published: (2024)
by: Razmi, Nasrin, 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)
Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems
by: Safaeipour, Fatemeh Zahra, et al.
Published: (2025)
by: Safaeipour, Fatemeh Zahra, et al.
Published: (2025)
Decentralized Learning via Random Walk with Jumps
by: Liu, Zonghong, et al.
Published: (2026)
by: Liu, Zonghong, et al.
Published: (2026)
Sparse Incremental Aggregation in Multi-Hop Federated Learning
by: Mukherjee, Sourav, et al.
Published: (2024)
by: Mukherjee, Sourav, et al.
Published: (2024)
Noise-Robust and Resource-Efficient ADMM-based Federated Learning
by: Lari, Ehsan, et al.
Published: (2024)
by: Lari, Ehsan, et al.
Published: (2024)
Distributed Maximum Consensus over Noisy Links
by: Lari, Ehsan, et al.
Published: (2024)
by: Lari, Ehsan, et al.
Published: (2024)
Physics-Inspired Distributed Radio Map Estimation
by: Yang, Dong, et al.
Published: (2025)
by: Yang, Dong, et al.
Published: (2025)
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)
Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management
by: Johnson, Bob, et al.
Published: (2025)
by: Johnson, Bob, et al.
Published: (2025)
Temporal Predictive Coding for Gradient Compression in Distributed Learning
by: Edin, Adrian, et al.
Published: (2024)
by: Edin, Adrian, et al.
Published: (2024)
Resource-Element Energy Difference for Noncoherent Over-the-Air Federated Learning
by: Chen, Hao, et al.
Published: (2026)
by: Chen, Hao, et al.
Published: (2026)
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)
Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks
by: Zhang, Kai, et al.
Published: (2025)
by: Zhang, Kai, et al.
Published: (2025)
SignSGD with Federated Voting
by: Park, Chanho, et al.
Published: (2024)
by: Park, Chanho, et al.
Published: (2024)
Convergence of Agnostic Federated Averaging
by: Herlock, et al.
Published: (2025)
by: Herlock, 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)
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)
Over-the-air Federated Policy Gradient
by: Yang, Huiwen, et al.
Published: (2023)
by: Yang, Huiwen, et al.
Published: (2023)
DMLR: Data-centric Machine Learning Research -- Past, Present and Future
by: Oala, Luis, et al.
Published: (2023)
by: Oala, Luis, et al.
Published: (2023)
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)
Privacy-Preserving Distributed Nonnegative Matrix Factorization
by: Lari, Ehsan, et al.
Published: (2024)
by: Lari, Ehsan, et al.
Published: (2024)
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks
by: Hu, Chung-Hsuan, et al.
Published: (2022)
by: Hu, Chung-Hsuan, et al.
Published: (2022)
Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding
by: Eslaminia, Ahmadreza, et al.
Published: (2024)
by: Eslaminia, Ahmadreza, et al.
Published: (2024)
Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction
by: Becking, Daniel, et al.
Published: (2025)
by: Becking, Daniel, et al.
Published: (2025)
SA-PEF: Step-Ahead Partial Error Feedback for Efficient Federated Learning
by: Redie, Dawit Kiros, et al.
Published: (2026)
by: Redie, Dawit Kiros, et al.
Published: (2026)
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing
by: Lari, Ehsan, et al.
Published: (2024)
by: Lari, Ehsan, et al.
Published: (2024)
Get More for Less in Decentralized Learning Systems
by: Dhasade, Akash, et al.
Published: (2023)
by: Dhasade, Akash, et al.
Published: (2023)
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data
by: Jin, Richeng, et al.
Published: (2024)
by: Jin, Richeng, et al.
Published: (2024)
Hierarchical Learning and Computing over Space-Ground Integrated Networks
by: Zhu, Jingyang, et al.
Published: (2024)
by: Zhu, Jingyang, et al.
Published: (2024)
Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks
by: Yang, Peng, et al.
Published: (2025)
by: Yang, Peng, et al.
Published: (2025)
When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning
by: Basani, Advik Raj, et al.
Published: (2024)
by: Basani, Advik Raj, et al.
Published: (2024)
Targeted Attacks and Defenses for Distributed Federated Learning in Vehicular Networks
by: Demir, Utku, et al.
Published: (2025)
by: Demir, Utku, et al.
Published: (2025)
FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization
by: Qu, Linping, et al.
Published: (2024)
by: Qu, Linping, et al.
Published: (2024)
Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks
by: Qi, Kangwei, et al.
Published: (2024)
by: Qi, Kangwei, et al.
Published: (2024)
Feature-Based Semantics-Aware Scheduling for Energy-Harvesting Federated Learning
by: Jeong, Eunjeong, et al.
Published: (2025)
by: Jeong, Eunjeong, et al.
Published: (2025)
IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff
by: Chen, Guangji, et al.
Published: (2024)
by: Chen, Guangji, et al.
Published: (2024)
Similar Items
-
Energy-Aware Federated Learning in Satellite Constellations
by: Razmi, Nasrin, 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) -
Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems
by: Safaeipour, Fatemeh Zahra, et al.
Published: (2025) -
Decentralized Learning via Random Walk with Jumps
by: Liu, Zonghong, et al.
Published: (2026) -
Sparse Incremental Aggregation in Multi-Hop Federated Learning
by: Mukherjee, Sourav, et al.
Published: (2024)