3 citations · 3 across the 5 of their papers we have counts for
5 papers
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization
Mrinmay Sen, Chalavadi Krishna Mohan
Personalized Federated Learning (PFL) enables clients to collaboratively train personalized models tailored to their individual objectives, addressing the challenge of model genera…
Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review
Mrinmay Sen, Shruti Aparna, Rohit Agarwal +1
Federated Learning (FL) is a learning mechanism that falls under the distributed training umbrella, which collaboratively trains a shared global model without disclosing the raw da…
Accelerated Training of Federated Learning via Second-Order Methods
Mrinmay Sen, Sidhant R Nair, C Krishna Mohan
This paper explores second-order optimization methods in Federated Learning (FL), addressing the critical challenges of slow convergence and the excessive communication rounds requ…
HateTinyLLM : Hate Speech Detection Using Tiny Large Language Models
Tanmay Sen, Ansuman Das, Mrinmay Sen
Hate speech encompasses verbal, written, or behavioral communication that targets derogatory or discriminatory language against individuals or groups based on sensitive characteris…
FAGH: Accelerating Federated Learning with Approximated Global Hessian
Mrinmay Sen, A. K. Qin, Krishna Mohan C
In federated learning (FL), the significant communication overhead due to the slow convergence speed of training the global model poses a great challenge. Specifically, a large num…