:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xu, Chi, Qian, Rongsheng, Fang, Hao, Ma, Xiaoqiang, Atlas, William I., Liu, Jiangchuan, Spoljaric, Mark A.
Format:	Preprint
Publié:	2024
Sujets:	Signal Processing Artificial Intelligence Distributed, Parallel, and Cluster Computing
Accès en ligne:	https://arxiv.org/abs/2410.19742
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update
par: Li, Jiaxing, et autres
Publié: (2024)

RASC: Region-Aware Self-Calibration for Dense 2D Sensor Arrays
par: Ma, Yinglei, et autres
Publié: (2026)

Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks
par: Zheng, Ce, et autres
Publié: (2026)

IRS Aided Federated Learning: Multiple Access and Fundamental Tradeoff
par: Chen, Guangji, et autres
Publié: (2024)

SpecFed: Accelerating Federated LLM Inference with Speculative Decoding and Compressed Transmission
par: Zheng, Ce, et autres
Publié: (2026)

An Experimental Exploration of In-Memory Computing for Multi-Layer Perceptrons
par: Carrinho, Pedro, et autres
Publié: (2025)

Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks
par: Mohsin, Muhammad Ahmed, et autres
Publié: (2025)

Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis
par: Zhang, Xueyao, et autres
Publié: (2024)

PowerTrain: Fast, Generalizable Time and Power Prediction Models to Optimize DNN Training on Accelerated Edges
par: K., Prashanthi S., et autres
Publié: (2024)

Optimal Expert Selection for Distributed Mixture-of-Experts at the Wireless Edge
par: Qin, Shengling, et autres
Publié: (2025)

Design of A Low-Latency and Parallelizable SVD Dataflow Architecture on FPGA
par: Du, Fangqiang, et autres
Publié: (2025)

Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks
par: Yang, Bo, et autres
Publié: (2024)

Communication-Efficient Distributed On-Device LLM Inference Over Wireless Networks
par: Zhang, Kai, et autres
Publié: (2025)

Parallel-in-Time Kalman Smoothing Using Orthogonal Transformations
par: Gargir, Shahaf, et autres
Publié: (2025)

Over-the-Air Federated Learning with Phase Noise: Analysis and Countermeasures
par: Dahl, Martin, et autres
Publié: (2024)

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks
par: Mohsin, Muhammad Ahmed, et autres
Publié: (2025)

Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach
par: Wang, Bin, et autres
Publié: (2024)

A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems
par: Bouton, Maxime, et autres
Publié: (2025)

HPC-based Solvers of Minimisation Problems for Signal Processing
par: Cammarasana, Simone, et autres
Publié: (2023)

Parsl+CWL: Towards Combining the Python and CWL Ecosystems
par: Karle, Nishchay, et autres
Publié: (2024)

Wireless Sensor Networks Nodes Clustering and Optimization Based on Fuzzy C-Means and Water Strider Algorithms
par: Alsharfa, Raya Majid, et autres
Publié: (2025)

Real-Time Diagnostic Integrity Meets Efficiency: A Novel Platform-Agnostic Architecture for Physiological Signal Compression
par: Vora, Neel R, et autres
Publié: (2023)

Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs
par: Jia, Ziye, et autres
Publié: (2025)

Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems
par: Safaeipour, Fatemeh Zahra, et autres
Publié: (2025)

Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT
par: Barbieri, Luca, et autres
Publié: (2024)

Physics-Inspired Distributed Radio Map Estimation
par: Yang, Dong, et autres
Publié: (2025)

Convergence of Agnostic Federated Averaging
par: Herlock, et autres
Publié: (2025)

Learn More by Using Less: Distributed Learning with Energy-Constrained Devices
par: Pereira, Roberto, et autres
Publié: (2024)

Distributed Maximum Consensus over Noisy Links
par: Lari, Ehsan, et autres
Publié: (2024)

On the Potential of Re-configurable Intelligent Surface (RIS)-assisted Physical Layer Authentication (PLA)
par: Amin, Hala, et autres
Publié: (2024)

Decentralized Learning via Random Walk with Jumps
par: Liu, Zonghong, et autres
Publié: (2026)

Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework
par: Larsson, Erik G., et autres
Publié: (2025)

Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management
par: Johnson, Bob, et autres
Publié: (2025)

Sparse Incremental Aggregation in Multi-Hop Federated Learning
par: Mukherjee, Sourav, et autres
Publié: (2024)

Noise-Robust and Resource-Efficient ADMM-based Federated Learning
par: Lari, Ehsan, et autres
Publié: (2024)

Energy-Aware Federated Learning in Satellite Constellations
par: Razmi, Nasrin, et autres
Publié: (2024)

SAT-CEP-monitor: An air quality monitoring software architecture combining complex event processing with satellite remote sensing
par: Semlali, Badr-Eddine Boudriki, et autres
Publié: (2024)

Over-the-air Federated Policy Gradient
par: Yang, Huiwen, et autres
Publié: (2023)

SignSGD with Federated Voting
par: Park, Chanho, et autres
Publié: (2024)

A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT
par: Li, Kai, et autres
Publié: (2024)