85 citations · 228 across the 10 of their papers we have counts for
3 papers · 1 filter
Decentralized RLS with Data-Adaptive Censoring for Regressions over Large-Scale Networks
Zifeng Wang, Zheng Yu, Qing Ling +2
The deluge of networked data motivates the development of algorithms for computation- and communication-efficient information processing. In this context, three data-adaptive censo…
Data Sketching for Large-Scale Kalman Filtering
Dimitris Berberidis, Georgios B. Giannakis
In an age of exponentially increasing data generation, performing inference tasks by utilizing the available information in its entirety is not always an affordable option. The pre…
Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking
Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
Kernel-based methods enjoy powerful generalization capabilities in handling a variety of learning tasks. When such methods are provided with sufficient training data, broadly-appli…