most citedFairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025★ 2 cited

FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks

Fahmida Islam, Adnan Mahmood, Noorain Mukhtiar +2

Federated Learning (FL) has been extensively employed for a number of applications in machine learning, i.e., primarily owing to its privacy preserving nature and efficiency in mit…

cs.CL2025

A Survey of the State-of-the-Art in Conversational Question Answering Systems

Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake +3

Conversational Question Answering (ConvQA) systems have emerged as a pivotal area within Natural Language Processing (NLP) by driving advancements that enable machines to engage in…