Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
FASTGNN: A topological information protected federated learning approach for traffic speed forecasting
Federated learning has been applied to various tasks in intelligent transportation systems to
protect data privacy through decentralized training schemes. The majority of the state-of-the …
protect data privacy through decentralized training schemes. The majority of the state-of-the …
Toward responsible ai: An overview of federated learning for user-centered privacy-preserving computing
Q Yang - ACM Transactions on Interactive Intelligent Systems …, 2021 - dl.acm.org
With the rapid advances of Artificial Intelligence (AI) technologies and applications, an
increasing concern is on the development and application of responsible AI technologies …
increasing concern is on the development and application of responsible AI technologies …
Improving semi-supervised federated learning by reducing the gradient diversity of models
Federated learning (FL) is a promising way to use the computing power of mobile devices
while maintaining the privacy of users. Current work in FL, however, makes the unrealistic …
while maintaining the privacy of users. Current work in FL, however, makes the unrealistic …
Semi-supervised federated learning for travel mode identification from GPS trajectories
GPS trajectories serve as a significant data source for travel mode identification along with
the development of various GPS-enabled smart devices. However, such data directly …
the development of various GPS-enabled smart devices. However, such data directly …
Federated learning for big data: A survey on opportunities, applications, and future directions
Big data has remarkably evolved over the last few years to realize an enormous volume of
data generated from newly emerging services and applications and a massive number of …
data generated from newly emerging services and applications and a massive number of …
Deep neural backdoor in semi-supervised learning: Threats and countermeasures
Z Yan, J Wu, G Li, S Li, M Guizani - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Semi-Supervised Learning (SSL) is a powerful derivative for humans to discover the hidden
knowledge, and will be a great substitute for data taggers. Although the availability of …
knowledge, and will be a great substitute for data taggers. Although the availability of …
A survey on federated learning and its applications for accelerating industrial internet of things
Federated learning (FL) brings collaborative intelligence into industries without centralized
training data to accelerate the process of Industry 4.0 on the edge computing level. FL …
training data to accelerate the process of Industry 4.0 on the edge computing level. FL …
SemiFL: Communication efficient semi-supervised federated learning with unlabeled clients
Federated Learning allows training machine learning models by using the computation and
private data resources of many distributed clients such as smartphones and IoT devices …
private data resources of many distributed clients such as smartphones and IoT devices …
Fedcon: A contrastive framework for federated semi-supervised learning
Federated Semi-Supervised Learning (FedSSL) has gained rising attention from both
academic and industrial researchers, due to its unique characteristics of co-training machine …
academic and industrial researchers, due to its unique characteristics of co-training machine …