7 papers
Principles and Components of Federated Learning Architectures
MD Abdullah Al Nasim, Fatema Tuj Johura Soshi, Parag Biswas +4
Federated Learning (FL) is a machine learning framework where multiple clients, from mobiles to enterprises, collaboratively construct a model under the orchestration of a central…
Trustworthy XAI and Application
MD Abdullah Al Nasim, A. S. M Anas Ferdous, Abdur Rashid +4
Artificial Intelligence (AI) is an important part of our everyday lives. We use it in self-driving cars and smartphone assistants. People often call it a "black box" because its co…
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning
Sarwar Saif, Md Jahirul Islam, Md. Zihad Bin Jahangir +4
The arrival of Machine Learning (ML) completely changed how we can unlock valuable information from data. Traditional methods, where everything was stored in one place, had big pro…
An Extensive and Methodical Review of Smart Grids for Sustainable Energy Management-Addressing Challenges with AI, Renewable Energy Integration and Leading-edge Technologies
Parag Biswas, Abdur Rashid, abdullah al masum +4
Energy management decreases energy expenditures and consumption while simultaneously increasing energy efficiency, reducing carbon emissions, and enhancing operational performance.…
Power Plays: Unleashing Machine Learning Magic in Smart Grids
Abdur Rashid, Parag Biswas, abdullah al masum +2
The integration of machine learning into smart grid systems represents a transformative step in enhancing the efficiency, reliability, and sustainability of modern energy networks.…
Securing the Diagnosis of Medical Imaging: An In-depth Analysis of AI-Resistant Attacks
Md Abdullah Al Nasim, Parag Biswas, Abdur Rashid +4
Machine learning (ML) is a rapidly developing area of medicine that uses significant resources to apply computer science and statistics to medical issues. ML's proponents laud its…