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Autori: Bajovic Dragana

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Naslov UNS Exterior Spatial Sound Events dataset for urban monitoring (Proceedings Paper)
Autori Suzic Sinisa B Martin Morato Irene Simic Nikola Raghavaraju Charitha Heittola Toni Stanojev Vuk Bajovic Dragana  
Info 32ND EUROPEAN SIGNAL PROCESSING CONFERENCE, EUSIPCO 2024, (2024), vol. br. , str. 176-180
Projekat European Union's Horizon 2020 research and innovation program MARVEL [957337]
Ispravka Web of Science  
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Naslov Nonlinear Consensus Plus Innovations Under Correlated Heavy-Tailed Noises: Mean Square Convergence Rate and Asymptotics (Article)
Autori Vukovic Manojlo  Jakovetic Dusan Bajovic Dragana  Kar Soummya 
Info SIAM JOURNAL ON CONTROL AND OPTIMIZATION, (2024), vol. 62 br. 1, str. 376-399
Projekat Ministry of Education, Science and Technological Development, Republic of Serbia; European Union [957337]; Provincial Secretariat for Higher Education and Scientific Research [142-451-2593/2021-01/2]
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
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Naslov Enhancing Emotion Recognition through Federated Learning: A Multimodal Approach with Convolutional Neural Networks (Article)
Autori Simic Nikola Suzic Sinisa B Milosevic Nemanja Stanojev Vuk Nosek Tijana V Popovic Branislav  Bajovic Dragana  
Info APPLIED SCIENCES-BASEL, (2024), vol. 14 br. 4, str. -
Projekat European Union's Horizon 2020 research
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Naslov A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments (Article)
Autori Armacki Aleksandar  Bajovic Dragana  Jakovetic Dusan Kar Soummya 
Info IEEE TRANSACTIONS ON SIGNAL PROCESSING, (2024), vol. 72 br. , str. 636-651
Projekat Office of Naval Research
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Naslov Inaccuracy Rates for Distributed Inference Over Random Networks With Applications to Social Learning (Article)
Autori Bajovic Dragana  
Info IEEE TRANSACTIONS ON INFORMATION THEORY, (2024), vol. 70 br. 1, str. 415-435
Projekat European Union's Horizon 2020 Research and Innovation Program
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Naslov Large deviations rates for stochastic gradient descent with strongly convex functions (Proceedings Paper)
Autori Bajovic Dragana  Jakovetic Dusan Kar Soummya 
Info INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 206, (2023), vol. 206 br. , str. -
Projekat European Union [957337]; Serbian Ministry of Education, Science and Technological Development; Office of Naval Research [N00014-21-1-2547]
Ispravka Web of Science  
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Naslov Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference (Article)
Autori Petrovic Nemanja  Bajovic Dragana  Kar Soummya Jakovetic Dusan Sahu Anit Kumar 
Info IEEE TRANSACTIONS ON SIGNAL PROCESSING, (2023), vol. 71 br. , str. 1319-1333
Projekat European Union [957337]
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Naslov Distributed Recursive Estimation Under Heavy-Tail Communication Noise* (Article)
Autori Jakovetic Dusan Vukovic Manojlo  Bajovic Dragana  Sahu Anit Kumar Kar Soummya 
Info SIAM JOURNAL ON CONTROL AND OPTIMIZATION, (2023), vol. 61 br. 3, str. 1582-1609
Projekat European Union [957337, 871518]; Serbian Ministry of Education, Science and Technological Development
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Naslov Nonlinear Gradient Mappings and Stochastic Optimization: a General Framework with Applications to Heavy-Tail Noise (Article)
Autori Jakovetic Dusan Bajovic Dragana  Sahu Anit Kumar Kar Soummya Milosevic Nemanja Stamenkovic Dusan 
Info SIAM JOURNAL ON OPTIMIZATION, (2023), vol. 33 br. 2, str. 394-423
Projekat European Union [957337]
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Naslov Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration (Proceedings Paper)
Autori Vukobratovic Dejan Lukic Milan  Mezei Ivan D  Bajovic Dragana  Danilovic Dragan Savic Milos  Bodroski Zarko R Skrbic Srdjan M Jakovetic Dusan 
Info 2022 30TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2022), (2022), vol. br. , str. 707-711
Projekat European Commission [856967, 833828, 871518]
Ispravka Web of Science  
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