Emmanuel Antwi-Boasiako

According to our database, Emmanuel Antwi-Boasiako authored at least 11 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A dynamic software start-up competence model.

Nana Assyne, Alfred Nyadroh, Emmanuel Adabor, Emmanuel Antwi-Boasiako, Isaac Wiafe

Inf. Softw. Technol., 2026

2024

Enhanced multi-key privacy-preserving distributed deep learning protocol with application to diabetic retinopathy diagnosis.

Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Isaac Amankona Obiri, Eric Kuada, Ebenezer Kwaku Danso, Acheampong Edward Mensah

Concurr. Comput. Pract. Exp., November, 2024

Enhanced privacy-preserving distributed deep learning with application to fog-based IoT.

Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Eric Kuada, Ebenezer Kwaku Danso

Internet Things, 2024

2023

Privacy-preserving distributed deep learning via LWE-based Certificateless Additively Homomorphic Encryption (CAHE).

Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Yingjie Dong

J. Inf. Secur. Appl., May, 2023

2022

Authentication Scheme Based on Non-Interactive Zero-Knowledge Proof for Mobile Health.

Acheampong Edward Mensah, Shijie Zhou, Yongjian Liao, Emmanuel Antwi-Boasiako, Isaac Amankona Obiri

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Smart Health Records Sharing Scheme based on Partially Policy-Hidden CP-ABE with Leakage Resilience.

Acheampong Edward Mensah, Shijie Zhou, Yongjian Liao, Emmanuel Antwi-Boasiako, Isaac Amankona Obiri

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021

Privacy preservation in Distributed Deep Learning: A survey on Distributed Deep Learning, privacy preservation techniques used and interesting research directions.

Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Qihe Liu, Yuyu Wang, Kwabena Owusu-Agyemang

J. Inf. Secur. Appl., 2021

An LWE-Based Multi-Key Privacy-Preserving Distributed Deep Learning.

Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Ebenezer Kwaku Danso

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

Privacy-Preservation in Distributed Deep Neural Networks via Encryption of Selected Gradients.

Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Qihe Liu

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019

Encryption Protocol for Resource-Constrained Devices in Fog-Based IoT Using One-Time Pads.

Kwasi Boakye-Boateng, Eric Kuada, Emmanuel Antwi-Boasiako, Emmanuel Djaba

IEEE Internet Things J., 2019

2016

Role of codec selection on the performance of IPsec secured VoIP.

Emmanuel Antwi-Boasiako, Eric Kuada, Kwasi Boakye-Boateng

Proceedings of the 2016 International Conference on Advances in Computing, 2016