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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 0Source ↗Scholar ↗
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 18Source ↗PDF ↗Scholar ↗