Federated learning for smart healthcare: A survey
Recent advances in communication technologies and the Internet-of-Medical-Things (IOMT)
have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI …
have transformed smart healthcare enabled by artificial intelligence (AI). Traditionally, AI …
Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey
Recent advances in electronic devices and communication infrastructure have
revolutionized the traditional healthcare system into a smart healthcare system by using …
revolutionized the traditional healthcare system into a smart healthcare system by using …
Incentive mechanisms for federated learning: From economic and game theoretic perspective
Federated learning (FL) becomes popular and has shown great potentials in training large-
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
Gtg-shapley: Efficient and accurate participant contribution evaluation in federated learning
Federated Learning (FL) bridges the gap between collaborative machine learning and
preserving data privacy. To sustain the long-term operation of an FL ecosystem, it is …
preserving data privacy. To sustain the long-term operation of an FL ecosystem, it is …
A comprehensive survey of incentive mechanism for federated learning
Federated learning utilizes various resources provided by participants to collaboratively train
a global model, which potentially address the data privacy issue of machine learning. In …
a global model, which potentially address the data privacy issue of machine learning. In …
Adoption of federated learning for healthcare informatics: Emerging applications and future directions
The smart healthcare system has improved the patients quality of life (QoL), where the
records are being analyzed remotely by distributed stakeholders. It requires a voluminous …
records are being analyzed remotely by distributed stakeholders. It requires a voluminous …
A survey on decentralized federated learning
In recent years, federated learning (FL) has become a very popular paradigm for training
distributed, large-scale, and privacy-preserving machine learning (ML) systems. In contrast …
distributed, large-scale, and privacy-preserving machine learning (ML) systems. In contrast …
A robust game-theoretical federated learning framework with joint differential privacy
Federated learning is a promising distributed machine learning paradigm that has been
playing a significant role in providing privacy-preserving learning solutions. However …
playing a significant role in providing privacy-preserving learning solutions. However …
Economic systems in the metaverse: Basics, state of the art, and challenges
H Huawei, Z Qinnan, L Taotao, Y Qinglin… - ACM Computing …, 2023 - dl.acm.org
Economic systems play pivotal roles in the metaverse. However, we have not yet found an
overview that systematically introduces economic systems for the metaverse. Therefore, we …
overview that systematically introduces economic systems for the metaverse. Therefore, we …
Survey on federated learning for intrusion detection system: Concept, architectures, aggregation strategies, challenges, and future directions
Intrusion Detection Systems (IDS) are essential for securing computer networks by
identifying and mitigating potential threats. However, traditional IDS face challenges related …
identifying and mitigating potential threats. However, traditional IDS face challenges related …