Mrinmay Sen

17 papers B 1C 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
DP-FEDSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix.
CoRR
Sidhant R. Nair, Tanmay Sen, Mrinmay Sen
2025 J jnl
Accelerated Training of Federated Learning via Second-Order Methods.
CoRR
Mrinmay Sen, Sidhant R. Nair, C. Krishna Mohan
2025 J jnl
FedDAF: Federated Domain Adaptation Using Model Functional Distance.
CoRR
Mrinmay Sen, Ankita Das, Sidhant R. Nair, C. Krishna Mohan
2025 J jnl
FedDPC : Handling Data Heterogeneity and Partial Client Participation in Federated Learning.
CoRR
Mrinmay Sen, Subhrajit Nag
2025 J jnl
Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review.
CoRR
Mrinmay Sen, Shruti Aparna, Rohit Agarwal, Chalavadi Krishna Mohan
2025 J jnl
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization.
CoRR
Mrinmay Sen, Chalavadi Krishna Mohan
2024 J jnl
FAGH: Accelerating Federated Learning with Approximated Global Hessian.
CoRR
Mrinmay Sen, A. K. Qin, Krishna Mohan C
2024 J jnl
HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models.
CoRR
Tanmay Sen, Ansuman Das, Mrinmay Sen
2024 B conf
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix.
IJCNN
Mrinmay Sen, A. K. Qin, Gayathri C, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman
2024 J jnl
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix.
CoRR
Gayathri C, Mrinmay Sen, A. K. Qin, Raghu Kishore N, Yen-Wei Chen, Balasubramanian Raman
2023 C conf
FONN: Federated Optimization with Nys-Newton.
TENCON
C. Nagaraju, Mrinmay Sen, C. Krishna Mohan
2023 C conf
FReNG: Federated Optimization by Using Regularized Natural Gradient Descent.
ICMLA
Mrinmay Sen, C. Gayatri
2023 — conf
Federated Optimization with Linear-Time Approximated Hessian Diagonal.
PReMI
Mrinmay Sen, C. Krishna Mohan, A. Kai Qin
2023 — conf
FopLAHD: Federated Optimization Using Locally Approximated Hessian Diagonal.
BDA
Mrinmay Sen, C. Krishna Mohan
2023 — conf
Handling Data Heterogeneity in Federated Learning with Global Data Distribution.
IMPROVE
C. Nagaraju, Mrinmay Sen, C. Krishna Mohan
2023 — conf
NOAH: Newton Method of Optimization with Approximated Hessian.
HPCC/DSS/SmartCity/DependSys
Mrinmay Sen, C. Krishna Mohan
2023 — conf
Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction.
HPCC/DSS/SmartCity/DependSys
Mrinmay Sen, C. Krishna Mohan, A. Kai Qin