Cover Image

Personalized and Resilient Distributed Learning Through Opinion Dynamics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ballotta, Luca, Bastianello, Nicola, Ferrari, Riccardo M. G., Johansson, Karl H.
Format:	Preprint
Published:	2025
Subjects:	Multiagent Systems Machine Learning Signal Processing Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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)

The Role of Confidence for Trust-based Resilient Consensus (Extended Version)
by: Ballotta, Luca, 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)

Compressed Regression over Adaptive Networks
by: Carpentiero, Marco, et al.
Published: (2023)

Confidence Boosts Trust-Based Resilience in Cooperative Multi-Robot Systems
by: Ballotta, Luca, et al.
Published: (2025)

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

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

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

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

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

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

Jointly Computation- and Communication-Efficient Distributed Learning
by: Ren, Xiaoxing, 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)

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)

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

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

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

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

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

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

Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
by: Tan, Jing, et al.
Published: (2024)

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

Computation-Communication Trade-offs and Sensor Selection in Real-time Estimation for Processing Networks
by: Ballotta, Luca, et al.
Published: (2019)

Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing
by: Snow, Luke, et al.
Published: (2024)

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

Distributed Random Reshuffling Methods with Improved Convergence
by: Huang, Kun, et al.
Published: (2023)

Deep Distributed Optimization for Large-Scale Quadratic Programming
by: Saravanos, Augustinos D., et al.
Published: (2024)

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

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

Distributed Blind Source Separation based on FastICA
by: Musluoglu, Cem Ates, et al.
Published: (2024)

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

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

Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry
by: Raghavan, Aneesh, et al.
Published: (2025)

Principled Learning-to-Communicate with Quasi-Classical Information Structures
by: Liu, Xiangyu, et al.
Published: (2026)

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

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

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

Major-Minor Mean Field Multi-Agent Reinforcement Learning
by: Cui, Kai, et al.
Published: (2023)