2 papers
cs.LG2025
Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft
Ertuğrul Keçeci, Müjde Güzelkaya, Tufan Kumbasar
This paper addresses the System Identification (SYSID) problem within the framework of federated learning. We introduce a novel algorithm, Incremental Clustering-based federated le…
cs.LG2025
A State Alignment-Centric Approach to Federated System Identification: The FedAlign Framework
Ertuğrul Keçeci, Müjde Güzelkaya, Tufan Kumbasar
This paper presents FedAlign, a Federated Learning (FL) framework particularly designed for System Identification (SYSID) tasks by aligning state representations. Local workers can…