Selected papers
- Tran Thi Phuong, Le Trieu Phong, Kazuhide Fukushima: Distributed Stochastic Gradient Descent With Compressed and Skipped Communication. IEEE Access 11: 99836-99846 (2023)
- Le Trieu Phong, Tran Thi Phuong: Differentially private stochastic gradient descent via compression and memorization. J. Syst. Archit. 135: 102819 (2023)
- Tran Thi Phuong, Le Trieu Phong: Distributed differentially-private learning with communication efficiency. J. Syst. Archit. 128: 102555 (2022)
- Tran Thi Phuong, Le Trieu Phong: Decentralized Stochastic Optimization With Random Attendance. IEEE Signal Process. Lett. 29: 1322-1326 (2022)
- Tran Thi Phuong, Le Trieu Phong: Communication-Efficient Distributed SGD with Error-Feedback, Revisited. Int. J. Comput. Intell. Syst. 14(1): 1373-1387 (2021)
- Tran Thi Phuong, Le Trieu Phong: Decentralized Descent Optimization With Stochastic Gradient Signs for Device-to-Device Networks. IEEE Wirel. Commun. Lett. 10(9): 1939-1943 (2021)
- Tran Thi Phuong, Le Trieu Phong: Distributed SGD With Flexible Gradient Compression. IEEE Access 8: 64707-64717 (2020)
- Le Trieu Phong, Tran Thi Phuong: Distributed SignSGD With Improved Accuracy and Network-Fault Tolerance. IEEE Access 8: 191839-191849 (2020)
- Tran Thi Phuong, Le Trieu Phong: On the Convergence Proof of AMSGrad and a New Version. IEEE Access 7: 61706-61716 (2019)
- Le Trieu Phong, Tran Thi Phuong: Privacy-Preserving Deep Learning via Weight Transmission. IEEE Trans. Inf. Forensics Secur. 14(11): 3003-3015 (2019)
