Cover Image

Compressed Regression over Adaptive Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Carpentiero, Marco, Matta, Vincenzo, Sayed, Ali H.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Multiagent Systems Signal Processing Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distributed Adaptive Learning Under Communication Constraints
by: Carpentiero, Marco, et al.
Published: (2021)

Differential error feedback for communication-efficient decentralized learning
by: Nassif, Roula, et al.
Published: (2024)

Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning with a Use-Case in Resource Allocation in Communication Networks
by: Behmandpoor, Pourya, et al.
Published: (2023)

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

Diffusion Stochastic Learning Over Adaptive Competing Networks
by: Zhao, Yike, et al.
Published: (2025)

Causal Influence in Federated Edge Inference
by: Kayaalp, Mert, et al.
Published: (2024)

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
by: Song, Zhuoqing, et al.
Published: (2021)

Causal Influences over Social Learning Networks
by: Kayaalp, Mert, et al.
Published: (2023)

High-Probability Convergence Guarantees of Decentralized SGD
by: Armacki, Aleksandar, et al.
Published: (2025)

Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Accelerated Distributed Allocation
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Fully Distributed and Quantized Algorithm for MPC-based Autonomous Vehicle Platooning Optimization
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

On the Redundant Distributed Observability of Mixed Traffic Transportation Systems
by: Doostmohammadian, M., et al.
Published: (2025)

High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking
by: Armacki, Aleksandar, et al.
Published: (2026)

Non-Asymptotic Performance of Social Machine Learning Under Limited Data
by: Hu, Ping, et al.
Published: (2023)

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

Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems
by: Doostmohammadian, Mohammadreza, et al.
Published: (2026)

Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)

Discretized Distributed Optimization over Dynamic Digraphs
by: Doostmohammadian, Mohammadreza, et al.
Published: (2023)

Delay-Tolerant Augmented-Consensus-based Distributed Directed Optimization
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Adaptive Decentralized Composite Optimization via Three-Operator Splitting
by: Chen, Xiaokai, et al.
Published: (2026)

Robust, Online, and Adaptive Decentralized Gaussian Processes
by: Llorente, Fernando, et al.
Published: (2025)

On the Design of Resilient Distributed Single Time-Scale Estimators: A Graph-Theoretic Approach
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Momentum-based Accelerated Algorithm for Distributed Optimization under Sector-Bound Nonlinearity
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Distributed Allocation and Resource Scheduling Algorithms Resilient to Link Failure
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Momentum-based Distributed Resource Scheduling Optimization Subject to Sector-Bound Nonlinearity and Latency
by: Doostmohammadian, Mohammadreza, et al.
Published: (2025)

Quantized Decentralized Stochastic Learning over Directed Graphs
by: Taheri, Hossein, et al.
Published: (2020)

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

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

Effective Communication with Dynamic Feature Compression
by: Talli, Pietro, et al.
Published: (2024)

Inverse Cubature and Quadrature Kalman filters
by: Singh, Himali, et al.
Published: (2023)

Inverse Unscented Kalman Filter
by: Singh, Himali, et al.
Published: (2023)

Concentration inequalities for semidefinite least squares based on data
by: Fabiani, Filippo, et al.
Published: (2025)

Inverse Particle Filter
by: Singh, Himali, et al.
Published: (2024)

DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
by: He, Chuan, et al.
Published: (2025)

A Generalized Sinkhorn Algorithm for Mean-Field Schrödinger Bridge
by: Eldesoukey, Asmaa, et al.
Published: (2026)

Distributed Online Submodular Maximization under Communication Delays: A Simultaneous Decision-Making Approach
by: Xu, Zirui, et al.
Published: (2026)

Hierarchical Decentralized Stochastic Control for Cyber-Physical Systems
by: Kaza, Kesav, et al.
Published: (2025)

An active learning method for solving competitive multi-agent decision-making and control problems
by: Fabiani, Filippo, et al.
Published: (2022)

Formation Shape Control using the Gromov-Wasserstein Metric
by: Nakashima, Haruto, et al.
Published: (2025)