2 citations · 3 across the 3 of their papers we have counts for
4 papers
FedCLF -- Towards Efficient Participant Selection for Federated Learning in Heterogeneous IoV Networks
Kasun Eranda Wijethilake, Adnan Mahmood, Quan Z. Sheng
Federated Learning (FL) is a distributed machine learning technique that preserves data privacy by sharing only the trained parameters instead of the client data. This makes FL ide…
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…
Towards Adaptive Context Management for Intelligent Conversational Question Answering
Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake +1
This particular paper introduces an Adaptive Context Management (ACM) framework for the Conversational Question Answering (ConvQA) systems. The key objective of the ACM framework i…
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…