Cover Image

Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Forootani, Ali, Iervolino, Raffaele
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learnable Koopman-Enhanced Transformer-Based Time Series Forecasting with Spectral Control
by: Forootani, Ali, et al.
Published: (2026)

Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset
by: Forootani, Ali, et al.
Published: (2025)

Off-Policy Temporal Difference Learning for Perturbed Markov Decision Processes: Theoretical Insights and Extensive Simulations
by: Forootani, Ali, et al.
Published: (2025)

Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks
by: Forootani, Ali, et al.
Published: (2025)

RE-LLM: Integrating Large Language Models into Renewable Energy Systems
by: Forootani, Ali, et al.
Published: (2025)

Accelerating Optimization and Machine Learning through Decentralization
by: Chen, Ziqin, et al.
Published: (2026)

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

Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning
by: Mohamed, Nazal, et al.
Published: (2026)

Federated Learning Approach to Mitigate Water Wastage
by: Ahmadi, Sina Hajer, et al.
Published: (2024)

Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal Rates
by: Maity, Sreejeet, et al.
Published: (2025)

Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach
by: Krishnan, Sivaram, et al.
Published: (2026)

Can Optimal Transport Improve Federated Inverse Reinforcement Learning?
by: Millard, David, et al.
Published: (2026)

Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
by: Zhou, Yuqi, et al.
Published: (2024)

Stable Linear Subspace Identification: A Machine Learning Approach
by: Di Natale, Loris, et al.
Published: (2023)

Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing
by: Samiullah, Muhammad, et al.
Published: (2024)

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach
by: Pan, Huazi, et al.
Published: (2025)

Learning Decentralized Linear Quadratic Regulators with $\sqrt{T}$ Regret
by: Ye, Lintao, et al.
Published: (2022)

Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach
by: Selim, Alaa, et al.
Published: (2024)

Free-Space Optical Channel Turbulence Prediction: A Machine Learning Approach
by: Islam, Md Zobaer, et al.
Published: (2024)

Asynchronous Distributed Gaussian Process Regression for Online Learning and Dynamical Systems: Complementary Document
by: Yang, Zewen, et al.
Published: (2024)

Decentralized Online Regularized Learning Over Random Time-Varying Graphs
by: Zhang, Xiwei, et al.
Published: (2022)

Optimizing Falsification for Learning-Based Control Systems: A Multi-Fidelity Bayesian Approach
by: Shahrooei, Zahra, et al.
Published: (2024)

Dynamic Line Rating using Hyper-local Weather Predictions: A Machine Learning Approach
by: Manninen, Henri, et al.
Published: (2024)

Machine Learning Detection of Lithium Plating in Lithium-ion Cells: A Gaussian Process Approach
by: Patnaik, Ayush, et al.
Published: (2025)

Combining Federated Learning and Control: A Survey
by: Weber, Jakob, et al.
Published: (2024)

A Systems Theoretic Approach to Online Machine Learning
by: Preez, Anli du, et al.
Published: (2024)

A Supervised Machine-Learning Approach For Turboshaft Engine Dynamic Modeling Under Real Flight Conditions
by: Paniccia, Damiano, et al.
Published: (2025)

Decentralized Personalized Federated Learning
by: Kharrat, Salma, et al.
Published: (2024)

Sensor to Pixels: Decentralized Swarm Gathering via Image-Based Reinforcement Learning
by: Koifman, Yigal, et al.
Published: (2026)

Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity Classification
by: Grigorev, Artur, et al.
Published: (2024)

Adversarially and Distributionally Robust Virtual Energy Storage Systems via the Scenario Approach
by: Pantazis, Georgios, et al.
Published: (2025)

FedECADO: A Dynamical System Model of Federated Learning
by: Agarwal, Aayushya, et al.
Published: (2024)

Scalar Federated Learning for Linear Quadratic Regulator
by: Rostami, Mohammadreza, et al.
Published: (2026)

Distributed Federated Learning by Alternating Periods of Training
by: Bhattacharyya, Shamik, et al.
Published: (2026)

Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach
by: Ramadan, Mohammad S., et al.
Published: (2023)

Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning
by: Yifru, Lunet, et al.
Published: (2024)

Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management
by: Li, Yuanzheng, et al.
Published: (2022)

Employing Federated Learning for Training Autonomous HVAC Systems
by: Hagström, Fredrik, et al.
Published: (2024)

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression
by: Dai, Xiaobing, et al.
Published: (2024)

Scalable Decentralized Learning with Teleportation
by: Takezawa, Yuki, et al.
Published: (2025)