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Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities.

A. Armacki, N. Milosevic, D. Bajovic, S. Kar, D. Jakovetic, A. Bakhtiarnia, L. Esterle, A. Muscat, and T. Festi. EUSIPCO, page 875-879. IEEE, (2023)

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Ira Milosevic

Nemanja Isailovic

Dragan Milosevic

Nemanja Zdravkovic

Javorina Milosevic

Other publications of authors with the same name

Enabling the IoT paradigm through multi-tenancy supported by scalable data acquisition layer.N. Dalcekovic, S. Vukmirovic, S. Stoja, and N. Milosevic. Ann. des Télécommunications, 72 (1-2): 71-78 (2017)Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned.G. Bravos, A. Cabrera, C. Correa, D. Danilovic, N. Evangeliou, G. Ezov, Z. Gajica, D. Jakovetic, L. Kallipolitis, M. Lukic and 17 other author(s). IEEE Access, (2022)Dynamic Split Computing for Efficient Deep EDGE Intelligence.A. Bakhtiarnia, N. Milosevic, Q. Zhang, D. Bajovic, and A. Iosifidis. ICASSP, page 1-5. IEEE, (2023)Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case.A. Alexopoulos, Y. Becerra, O. Boehm, G. Bravos, V. Chatzigiannakis, C. Cugnasco, G. Demetriou, I. Eleftheriou, S. Fotis, G. Genchi and 21 other author(s). Technologies and Applications for Big Data Value, Springer, (2022)First Results of WCET Estimation in SSQSA Framework.N. Sukur, N. Milosevic, S. Pesic, J. Kolek, G. Rakic, and Z. Budimac. SQAMIA, volume 1677 of CEUR Workshop Proceedings, page 81-87. CEUR-WS.org, (2016)BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems.N. Milosevic, D. Jakovetic, S. Skrbic, M. Savic, D. Stamenkovic, J. Mascolo, and D. Masera. EUSIPCO, page 1097-1101. IEEE, (2022)Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications.I. Arapakis, Y. Becerra, O. Boehm, G. Bravos, V. Chatzigiannakis, C. Cugnasco, G. Demetriou, I. Eleftheriou, J. Mascolo, L. Fodor and 18 other author(s). SERVICES, page 394-395. IEEE, (2019)Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise.D. Jakovetic, D. Bajovic, A. Sahu, S. Kar, N. Milosevic, and D. Stamenkovic. CoRR, (2022)Automated program improvement with reinforcement learning and graph neural networks.N. Sukur, N. Milosevic, D. Pracner, and Z. Budimac. Soft Comput., 28 (3): 2593-2604 (February 2024)Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise.D. Jakovetic, D. Bajovic, A. Sahu, S. Kar, N. Milosevic, and D. Stamenkovic. SIAM J. Optim., 33 (2): 394-423 (2023)

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Disambiguation of "Milosevic, Nemanja"

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Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities.

Please choose a person to relate this publication to

Ira Milosevic

Nemanja Isailovic

Dragan Milosevic

Nemanja Zdravkovic

Javorina Milosevic

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Milosevic, Nemanja"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities.

Please choose a person to relate this publication to

Ira Milosevic

Nemanja Isailovic

Dragan Milosevic

Nemanja Zdravkovic

Javorina Milosevic

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities.