Dragana Bajović | DeepAI

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Featured Co-authors

Qi Zhang
242 publications
Alexandros Iosifidis
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Soummya Kar
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José M. F. Moura
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Dejan Vukobratovic
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Anit Kumar Sahu
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Dusan Jakovetic
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João Xavier
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Arian Bakhtiarnia
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Vladimir Stanković
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Milos Savic
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∙ 12/22/2022

Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics

We consider distributed recursive estimation of consensus+innovations ty...

0 Manojlo Vukovic, et al. ∙

∙ 11/02/2022

Large deviations rates for stochastic gradient descent with strongly convex functions

Recent works have shown that high probability metrics with stochastic gr...

0 Dragana Bajović, et al. ∙

∙ 09/22/2022

One-Shot Federated Learning for Model Clustering and Learning in Heterogeneous Environments

We propose a communication efficient approach for federated learning in ...

0 Aleksandar Armacki, et al. ∙

∙ 08/10/2022

Inaccuracy rates for distributed inference over random networks with applications to social learning

This paper studies probabilistic rates of convergence for consensus+inno...

0 Dragana Bajović, et al. ∙

∙ 05/23/2022

Dynamic Split Computing for Efficient Deep Edge Intelligence

Deploying deep neural networks (DNNs) on IoT and mobile devices is a cha...

9 Arian Bakhtiarnia, et al. ∙

∙ 04/06/2022

Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise

We introduce a general framework for nonlinear stochastic gradient desce...

0 Dusan Jakovetic, et al. ∙

∙ 02/01/2022

Gradient Based Clustering

We propose a general approach for distance based clustering, using the g...

0 Aleksandar Armacki, et al. ∙

∙ 02/01/2022

Personalized Federated Learning via Convex Clustering

We propose a parametric family of algorithms for personalized federated ...

0 Aleksandar Armacki, et al. ∙

∙ 02/17/2021

Deep Learning Anomaly Detection for Cellular IoT with Applications in Smart Logistics

The number of connected Internet of Things (IoT) devices within cyber-ph...

0 Milos Savic, et al. ∙

∙ 12/18/2019

Primal-dual optimization methods for large-scale and distributed data analytics

The augmented Lagrangian method (ALM) is a classical optimization tool t...

0 Dusan Jakovetic, et al. ∙

∙ 12/25/2017

Optimal detection and error exponents for hidden multi-state processes via random duration model approach

We study detection of random signals corrupted by noise that over time s...

0 Dragana Bajović, et al. ∙

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