Advisor
Co-advisor
Research Topic
Artificial Intelligence for More Sustainable and Green Federated Learning
Research Abstract
This research seeks new techniques for sustainable AI, concentrating on federated learning that merges privacy-preserving methods with green computing. The project utilizes decentralized data for eco-friendly AI solutions, maintaining privacy integrity. It delves into AI's role in boosting the efficiency and sustainability of models, particularly in human mobility and health diagnostics, emphasizing eco-conscious and people-focused strategies. The aim is to propel AI technologies that enhance environmental sustainability and data privacy, focusing on privacy preservation, data management, and federated learning techniques. The study spans Deep Learning, Federated Learning, AI, and Audio Processing, aiming to improve data recovery, bolster privacy, and support environmental sustainability.