FedSysID: A Federated Approach to Sample-Efficient System Identification

arXiv:2211.14393 · cs.LG, cs.SY, eess.SY, math.OC · Submitted 2022-11-25 · Read on arXiv

cs.LG, cs.SY, eess.SY, math.OC

Submitted: 2022-11-25

Updated: 2026-09-26

Comments: Paper accepted at L4DC 2023. This version refines the error bounds and correct typos in the paper

Code: https://github.com/jd-anderson/Federated-ID

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• System Identification — 31× in this paper · explained in 3 episodes
• Federated Learning — 14× in this paper · explained in 14 episodes
• Sample Complexity — 6× in this paper · explained in 15 episodes
• Federated Learning (FL) — 4× in this paper · explained in 7 episodes
• American Control Conference — 2× in this paper
• Conference on Decision and Control — 2× in this paper
• Data Heterogeneity — 2× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Internet of Things — 1× in this paper
• Non-asymptotic Analysis — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes

Sources

• Federated Optimization: Distributed Machine Learning for On-Device Intelligence
• Federated Learning: Strategies for Improving Communication Efficiency
• Federated Optimization in Heterogeneous Networks
• Statistical Learning Theory for Control: A Finite Sample Perspective
• Introduction to the non-asymptotic analysis of random matrices
• FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation
• Identifying the Dynamics of a System by Leveraging Data from Similar Systems

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