FopLAHD: Federated Optimization Using Locally Approximated Hessian Diagonal. - Mrinmay Sen; C. Krishna Mohan (BDA, 2023)

NOAH: Newton Method of Optimization with Approximated Hessian. - Mrinmay Sen; C. Krishna Mohan (HPCC/DSS/SmartCity/DependSys, 2023)

Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction. - Mrinmay Sen; C. Krishna Mohan; A. Kai Qin (HPCC/DSS/SmartCity/DependSys, 2023)

FReNG: Federated Optimization by Using Regularized Natural Gradient Descent. - Mrinmay Sen; C. Gayatri (ICMLA, 2023)

Handling Data Heterogeneity in Federated Learning with Global Data Distribution. - C. Nagaraju; Mrinmay Sen; C. Krishna Mohan (IMPROVE, 2023)

Federated Optimization with Linear-Time Approximated Hessian Diagonal. - Mrinmay Sen; C. Krishna Mohan; A. Kai Qin (PReMI, 2023)

FONN: Federated Optimization with Nys-Newton. - C. Nagaraju; Mrinmay Sen; C. Krishna Mohan (TENCON, 2023)

SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix. - Mrinmay Sen; A. Kai Qin; Gayathri C; Raghu Kishore N; Yen-Wei Chen 001; Balasubramanian Raman (IJCNN, 2024)

FAGH: Accelerating Federated Learning with Approximated Global Hessian. - Mrinmay Sen; A. Kai Qin; Krishna Mohan C (CoRR, 2024)

HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models. - Tanmay Sen; Ansuman Das; Mrinmay Sen (CoRR, 2024)

Accelerated Training of Federated Learning via Second-Order Methods. - Mrinmay Sen; Sidhant R. Nair; C. Krishna Mohan (CoRR, 2025)

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review. - Mrinmay Sen; Shruti Aparna; Rohit Agarwal; Chalavadi Krishna Mohan (CoRR, 2025)

pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization. - Mrinmay Sen; Chalavadi Krishna Mohan (CoRR, 2025)