Mrinmay Sen

According to our database, Mrinmay Sen authored at least 10 papers between 2023 and 2024.

Collaborative distances:

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

2024

HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models.

Tanmay Sen, Ansuman Das, Mrinmay Sen

CoRR, 2024

FAGH: Accelerating Federated Learning with Approximated Global Hessian.

Mrinmay Sen, A. Kai Qin, Krishna Mohan C

CoRR, 2024

SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix.

Gayathri C, Mrinmay Sen, A. Kai Qin, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman

CoRR, 2024

2023

FONN: Federated Optimization with Nys-Newton.

C. Nagaraju, Mrinmay Sen, C. Krishna Mohan

Proceedings of the IEEE Region 10 Conference, 2023

Federated Optimization with Linear-Time Approximated Hessian Diagonal.

Mrinmay Sen, C. Krishna Mohan, A. Kai Qin

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

Handling Data Heterogeneity in Federated Learning with Global Data Distribution.

C. Nagaraju, Mrinmay Sen, C. Krishna Mohan

Proceedings of the 3rd International Conference on Image Processing and Vision Engineering, 2023

FReNG: Federated Optimization by Using Regularized Natural Gradient Descent.

Mrinmay Sen, C. Gayatri

Proceedings of the International Conference on Machine Learning and Applications, 2023

Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction.

Mrinmay Sen, C. Krishna Mohan, A. Kai Qin

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

NOAH: Newton Method of Optimization with Approximated Hessian.

Mrinmay Sen, C. Krishna Mohan

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

FopLAHD: Federated Optimization Using Locally Approximated Hessian Diagonal.

Mrinmay Sen, C. Krishna Mohan

Proceedings of the Big Data and Artificial Intelligence - 11th International Conference, 2023