FedSysID: A Federated Approach to Sample-Efficient System Identification

FedSysID: A Federated Approach to Sample-Efficient System Identification

25 November 2022

Leonardo F. Toso

James Anderson

Papers citing "FedSysID: A Federated Approach to Sample-Efficient System Identification"

11 / 11 papers shown

Title
A State Alignment-Centric Approach to Federated System Identification: The FedAlign Framework Ertuğrul Keçeci Müjde Güzelkaya Tufan Kumbasar FedML Presented at ResearchTrend Connect \| FedML on 23 Apr 2025 105 0 0 15 Mar 2025
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 26 1 0 16 Aug 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 26 2 0 12 Jul 2024
Joint Learning of Linear Dynamical Systems under Smoothness Constraints Hemant Tyagi 26 0 0 03 Jun 2024
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning Chenyu Zhang Han Wang Aritra Mitra James Anderson 21 18 0 27 Jan 2024
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR Leonardo F. Toso Donglin Zhan James Anderson Han Wang 26 9 0 25 Jan 2024
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates Guangchen Lan Han Wang James Anderson Christopher G. Brinton Vaneet Aggarwal FedML 19 27 0 09 Oct 2023
Robot Fleet Learning via Policy Merging Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 42 4 0 02 Oct 2023
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data Thomas T. Zhang Leonardo F. Toso James Anderson Nikolai Matni 67 13 0 08 Aug 2023
Learning Personalized Models with Clustered System Identification Leonardo F. Toso Hang Wang James Anderson 19 9 0 03 Apr 2023
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021