A comprehensive survey of privacy-preserving federated learning: A taxonomy, review, and future directions
The past four years have witnessed the rapid development of federated learning (FL).
However, new privacy concerns have also emerged during the aggregation of the …
However, new privacy concerns have also emerged during the aggregation of the …
Federated learning in smart cities: Privacy and security survey
Over the last decade, smart cities (SC) have been developed worldwide. Implementing big
data and the internet of things improves the monitoring and integration of different …
data and the internet of things improves the monitoring and integration of different …
On the opportunities and risks of foundation models
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions
Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
Review on security of federated learning and its application in healthcare
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …
progress has been made on many complex medical problems. However, there is a lack of …
Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges
Federated learning (FL) plays an important role in the development of smart cities. With the
evolution of big data and artificial intelligence, issues related to data privacy and protection …
evolution of big data and artificial intelligence, issues related to data privacy and protection …
Federated learning for privacy-preserving: A review of PII data analysis in Fintech
There has been tremendous growth in the field of AI and machine learning. The
developments across these fields have resulted in a considerable increase in other FinTech …
developments across these fields have resulted in a considerable increase in other FinTech …
Incentive mechanism for horizontal federated learning based on reputation and reverse auction
J Zhang, Y Wu, R Pan - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
Current research on federated learning mainly focuses on joint optimization, improving
efficiency and effectiveness, and protecting privacy. However, there are relatively few …
efficiency and effectiveness, and protecting privacy. However, there are relatively few …
Ai-based mobile edge computing for iot: Applications, challenges, and future scope
New technology is needed to meet the latency and bandwidth issues present in cloud
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …
computing architecture specially to support the currency of 5G networks. Accordingly, mobile …
Machine learning-assisted self-powered intelligent sensing systems based on triboelectricity
Z Tian, J Li, L Liu, H Wu, X Hu, M Xie, Y Zhu, X Chen… - Nano Energy, 2023 - Elsevier
The advancement of 5G and the Internet of Things (IoT) has ushered in an era of super-
interconnected intelligence, which promises high-quality social development. Triboelectric …
interconnected intelligence, which promises high-quality social development. Triboelectric …