Cover Image

Communication-Efficient Stochastic Distributed Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Xiaoxing, Bastianello, Nicola, Johansson, Karl H., Parisini, Thomas
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Systems and Control Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Jointly Computation- and Communication-Efficient Distributed Learning
by: Ren, Xiaoxing, et al.
Published: (2025)

Communication-Efficient Distributed Learning with Differential Privacy
by: Ren, Xiaoxing, et al.
Published: (2026)

A Communication-Efficient Decentralized Actor-Critic Algorithm
by: Ren, Xiaoxing, et al.
Published: (2025)

Communication-Efficient Learning for Satellite Constellations
by: Tudose, Ruxandra-Stefania, et al.
Published: (2025)

Robust Online Learning over Networks
by: Bastianello, Nicola, et al.
Published: (2023)

Optimization and Learning in Open Multi-Agent Systems
by: Deplano, Diego, et al.
Published: (2025)

Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)

Asynchronous Distributed Learning with Quantized Finite-Time Coordination
by: Bastianello, Nicola, et al.
Published: (2024)

(Un)supervised Learning of Maximal Lyapunov Functions
by: Barreau, Matthieu, et al.
Published: (2024)

Personalized and Resilient Distributed Learning Through Opinion Dynamics
by: Ballotta, Luca, et al.
Published: (2025)

Enhancing Privacy in Federated Learning through Local Training
by: Bastianello, Nicola, et al.
Published: (2024)

Distributed Optimization and Learning for Automated Stepsize Selection with Finite Time Coordination
by: Rikos, Apostolos I., et al.
Published: (2025)

Online Distributed Learning with Quantized Finite-Time Coordination
by: Bastianello, Nicola, et al.
Published: (2023)

Wasserstein Distributionally Robust Nash Equilibrium Seeking with Heterogeneous Data: A Lagrangian Approach
by: Wang, Zifan, et al.
Published: (2025)

A survey on secure decentralized optimization and learning
by: Liu, Changxin, et al.
Published: (2024)

Nesterov Accelerated Distributed Optimization with Efficient Quantized Communication
by: Wu, Ruochen, et al.
Published: (2026)

Safe Exploration for Nonlinear Processes Using Online Gaussian Process Learning
by: Tonini, Stefano, et al.
Published: (2026)

A Stochastic Operator Framework for Optimization and Learning with Sub-Weibull Errors
by: Bastianello, Nicola, et al.
Published: (2021)

RHYME-XT: A Neural Operator for Spatiotemporal Control Systems
by: Ruiter, Marijn, et al.
Published: (2026)

Distributed Optimization with Efficient Communication, Event-Triggered Solution Enhancement, and Operation Stopping
by: Rikos, Apostolos I., et al.
Published: (2025)

Distributed Optimization with Finite Bit Adaptive Quantization for Efficient Communication and Precision Enhancement
by: Rikos, Apostolos I., et al.
Published: (2024)

Control-Based Online Distributed Optimization
by: van Weerelt, Wouter J. A., et al.
Published: (2025)

Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
by: He, Zhiyu, et al.
Published: (2025)

Multi-Agent Optimization and Learning: A Non-Expansive Operators Perspective
by: Bastianello, Nicola, et al.
Published: (2024)

Decentralized Optimization via RC-ALADIN with Efficient Quantized Communication
by: Du, Xu, et al.
Published: (2025)

Learning to Sparsify Stochastic Linear Bandits
by: Wang, Zhengmiao, et al.
Published: (2026)

tvopt: A Python Framework for Time-Varying Optimization
by: Bastianello, Nicola
Published: (2020)

Communication-Efficient Distributed Online Nonconvex Optimization with Time-Varying Constraints
by: Zhang, Kunpeng, et al.
Published: (2025)

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

Distributed Thompson sampling under constrained communication
by: Zerefa, Saba, et al.
Published: (2024)

Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach
by: Noori, Amir, et al.
Published: (2024)

Hierarchical Reinforcement Learning Framework for Stochastic Spaceflight Campaign Design
by: Takubo, Yuji, et al.
Published: (2021)

Affine-coupled Distributed Optimization via Distributed Proximal Jacobian ADMM with Quantized Communication
by: Du, Xu, et al.
Published: (2026)

On the Foundation of Distributionally Robust Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2023)

Non-Parametric Learning of Stochastic Differential Equations with Non-asymptotic Fast Rates of Convergence
by: Bonalli, Riccardo, et al.
Published: (2023)

Distributed Constrained Online Nonconvex Optimization with Compressed Communication
by: Zhang, Kunpeng, et al.
Published: (2025)

Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control
by: Kato, Teruki, et al.
Published: (2026)

Meta-Learning for Physically-Constrained Neural System Identification
by: Chakrabarty, Ankush, et al.
Published: (2025)

A Framework for Adaptive Stabilisation of Nonlinear Stochastic Systems
by: Siriya, Seth, et al.
Published: (2025)

Gradient Estimation and Variance Reduction in Stochastic and Deterministic Models
by: Keane, Ronan
Published: (2024)