Bekir Sait Ciftler

Orcid: 0000-0003-0229-0745

According to our database1, Bekir Sait Ciftler authored at least 26 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT.
IEEE Open J. Commun. Soc., 2023

2022
DRL-Based Joint RAT Association, Power and Bandwidth Optimization for Future HetNets.
IEEE Wirel. Commun. Lett., 2022

Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNets.
IEEE Trans. Netw. Sci. Eng., 2022

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA.
IEEE Open J. Commun. Soc., 2022

The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions.
IEEE Open J. Commun. Soc., 2022

Toward Secure Federated Learning for IoT Using DRL-Enabled Reputation Mechanism.
IEEE Internet Things J., 2022

Secure Federated Learning for IoT using DRL-based Trust Mechanism.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

2021
Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey.
CoRR, 2021

DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks.
Proceedings of the ICC 2021, 2021

DeepRAT: A DRL-Based Framework for Multi-RAT Assignment and Power Allocation in HetNets.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

AI-Based Radio Resource Allocation in Support of the Massive Heterogeneity of 6G Networks.
Proceedings of the 4th IEEE 5G World Forum, 2021

2020
Exploiting Unlabeled Data in Smart Cities using Federated Learning.
CoRR, 2020

Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method.
CoRR, 2020

Federated Learning for RSS Fingerprint-based Localization: A Privacy-Preserving Crowdsourcing Method.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Exploiting Unlabeled Data in Smart Cities using Federated Edge Learning.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Performance Evaluation of Physical Attacks against E2E Autoencoder over Rayleigh Fading Channel.
Proceedings of the IEEE International Conference on Informatics, 2020

Federated Mimic Learning for Privacy Preserving Intrusion Detection.
Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2020

2018
The Impact of Incomplete Secure Connectivity on the Lifetime of Wireless Sensor Networks.
IEEE Syst. J., 2018

Occupancy Counting With Burst and Intermittent Signals in Smart Buildings.
IEEE Internet Things J., 2018

2017
IoT Localization for Bistatic Passive UHF RFID Systems With 3-D Radiation Pattern.
IEEE Internet Things J., 2017

Indoor UAV Navigation to a Rayleigh Fading Source Using Q-Learning.
CoRR, 2017

IoT Localization for Bistatic Passive UHF RFID Systems with 3D Radiation Pattern.
CoRR, 2017

2016
Indoor occupancy tracking in smart buildings using passive sniffing of probe requests.
Proceedings of the IEEE International Conference on Communication, 2016

2015
Fundamental bounds on RSS-based wireless localization in passive UHF RFID systems.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

Experimental performance evaluation of passive UHF RFID systems under interference.
Proceedings of the IEEE International Conference on RFID Technology and Applications, 2015

Efficient Privacy-Preserving Fingerprint-Based Indoor Localization Using Crowdsourcing.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015


  Loading...