803 citations · 1.5k across the 26 of their papers we have counts for
4 papers · 1 filter
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
Shen Wang, M. Atif Qureshi, Luis Miralles-Pechuán +3
When 5G began its commercialisation journey around 2020, the discussion on the vision of 6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability, en…
Roadmap for Edge AI: A Dagstuhl Perspective
Aaron Yi Ding, Ella Peltonen, Tobias Meuser +16
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred…
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu, Quoc-Viet Pham, Thien Huynh-The +6
In the recent years, generation of data have escalated to extensive dimensions and big data has emerged as a propelling force in the development of various machine learning advance…
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
Prabadevi B, Quoc-Viet Pham, Madhusanka Liyanage +7
Electricity is one of the mandatory commodities for mankind today. To address challenges and issues in the transmission of electricity through the traditional grid, the concepts of…