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Konstantinos E. Nikolakakis

2 accepted papers

2024

Federated Learning under Restricted user Availability

ICASSP 2024accepted

Federated Learning (FL) is a decentralized machine learning framework that enables collaborative model training while respecting data privacy. In various applications, non-uniform availability or participation of users is unavoidable due to an adverse or stochastic environment, the latter often bein…

Cited by 0SourceScholar
2019

Learning Tree Structures from Noisy Data

AISTATS 2019poster

We provide high-probability sample complexity guarantees for exact structure recovery of tree-structured graphical models, when only noisy observations of the respective vertex emissions are available. We assume that the hidden variables follow either an Ising model or a Gaussian graphical model, an…

Cited by 18SourcePDFScholar