Yuris Mulya Saputra

Orcid: 0000-0001-8862-2004

According to our database¹, Yuris Mulya Saputra authored at least 22 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Emerging Technologies for 6G Non-Terrestrial-Networks: From Academia to Industrial Applications.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Federated Learning Framework With Straggling Mitigation and Privacy-Awareness for AI-Based Mobile Application Services.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., September, 2023

Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., April, 2023

Customer Shopping Behavior Analysis Using RFID and Machine Learning Models.

[BibT_eX]

[DOI]

Ganjar Alfian

Muhammad Qois Huzyan Octava

Farhan Mufti Hilmy

Rachma Aurya Nurhaliza

Yuris Mulya Saputra

Divi Galih Prasetyo Putri

Firma Syahrian

Norma Latif Fitriyani

Fransiskus Tatas Dwi Atmaji

Umar Farooq

Dat Tien Nguyen

Muhammad Syafrudin

Inf., 2023

2022

Federated Learning Meets Contract Theory: Economic-Efficiency Framework for Electric Vehicle Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

Transfer Learning for Wireless Networks: A Comprehensive Survey.

[BibT_eX]

[DOI]

Proc. IEEE, 2022

In-Network Caching and Learning Optimization for Federated Learning in Mobile Edge Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

2021

A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2021

Coded Federated Learning Framework for AI-Based Mobile Application Services with Privacy-Awareness.

[BibT_eX]

[DOI]

CoRR, 2021

Transfer Learning for Future Wireless Networks: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Dynamic Federated Learning-Based Economic Framework for Internet-of-Vehicles.

[BibT_eX]

[DOI]

CoRR, 2021

Incentive Mechanism for AI-Based Mobile Applications with Coded Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

Selective Federated Learning for On-Road Services in Internet-of-Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

Federated Learning Meets Contract Theory: Energy-Efficient Framework for Electric Vehicle Networks.

[BibT_eX]

[DOI]

CoRR, 2020

A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing - Part II: Emerging Technologies and Open Issues.

[BibT_eX]

[DOI]

IEEE Access, 2020

A Comprehensive Survey of Enabling and Emerging Technologies for Social Distancing - Part I: Fundamentals and Enabling Technologies.

[BibT_eX]

[DOI]

IEEE Access, 2020

Collaborative Learning Model for Cyberattack Detection Systems in IoT Industry 4.0.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Common Agency-Based Economic Model for Energy Contract in Electric Vehicle Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2019

Energy Demand Prediction with Federated Learning for Electric Vehicle Networks.

[BibT_eX]

[DOI]

Srikathyayani Srikanteswara

Proceedings of the 2019 IEEE Global Communications Conference, 2019

JOCAR: A Jointly Optimal Caching and Routing Framework for Cooperative Edge Caching Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2017

E-MICE: Energy-Efficient Concurrent Exploitation of Multiple Wi-Fi Radios.

[BibT_eX]

[DOI]

Yuris Mulya Saputra

Ji-Hoon Yun

IEEE Trans. Mob. Comput., 2017

Yuris Mulya Saputra

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