Tran Thi Phuong

According to our database, Tran Thi Phuong authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

DP-FedELM: Differentially Private Federated Extreme Learning Machine.

Hajime Ono, Tran Thi Phuong, Le Trieu Phong

Proceedings of the Advanced Information Networking and Applications, 2025

2024

Frameworks for Privacy-Preserving Federated Learning.

Le Trieu Phong, Tran Thi Phuong, Lihua Wang, Seiichi Ozawa

IEICE Trans. Inf. Syst., January, 2024

Differentially Private Extreme Learning Machine.

Hajime Ono, Tran Thi Phuong, Le Trieu Phong

Proceedings of the Modeling Decisions for Artificial Intelligence, 2024

New Convergence Analysis of the BEER Algorithm in Decentralized Nonconvex Optimization.

Tran Thi Phuong, Le Trieu Phong

Proceedings of the Complex, Intelligent and Software Intensive Systems, 2024

DP-ACO: Differentially Private Average Consensus Optimization in Decentralized Learning.

Tran Thi Phuong, Le Trieu Phong

Proceedings of the Complex, Intelligent and Software Intensive Systems, 2024

2023

Differentially private stochastic gradient descent via compression and memorization.

Le Trieu Phong, Tran Thi Phuong

J. Syst. Archit., February, 2023

Distributed Stochastic Gradient Descent With Compressed and Skipped Communication.

Tran Thi Phuong, Le Trieu Phong, Kazuhide Fukushima

IEEE Access, 2023

2022

Decentralized Stochastic Optimization With Random Attendance.

Tran Thi Phuong, Le Trieu Phong

IEEE Signal Process. Lett., 2022

Distributed differentially-private learning with communication efficiency.

Tran Thi Phuong, Le Trieu Phong

J. Syst. Archit., 2022

2021

Decentralized Descent Optimization With Stochastic Gradient Signs for Device-to-Device Networks.

Tran Thi Phuong, Le Trieu Phong

IEEE Wirel. Commun. Lett., 2021

Communication-Efficient Distributed SGD with Error-Feedback, Revisited.

Tran Thi Phuong, Le Trieu Phong

Int. J. Comput. Intell. Syst., 2021

2020

Distributed SGD With Flexible Gradient Compression.

Tran Thi Phuong, Le Trieu Phong

IEEE Access, 2020

Distributed SignSGD With Improved Accuracy and Network-Fault Tolerance.

Le Trieu Phong, Tran Thi Phuong

IEEE Access, 2020

2019

Privacy-Preserving Deep Learning via Weight Transmission.

Le Trieu Phong, Tran Thi Phuong

IEEE Trans. Inf. Forensics Secur., 2019

On the Convergence Proof of AMSGrad and a New Version.

Tran Thi Phuong, Le Trieu Phong

IEEE Access, 2019

2018

Privacy-Preserving Deep Learning for any Activation Function.

Le Trieu Phong, Tran Thi Phuong

CoRR, 2018