Federated learning for smart cities: A comprehensive survey
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …
data, fog computing, and edge computing, smart city applications have suffered from issues …
Green edge AI: A contemporary survey
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …
Two-layer federated learning with heterogeneous model aggregation for 6g supported internet of vehicles
The vision of the upcoming 6G technologies that have fast data rate, low latency, and ultra-
dense network, draws great attentions to the Internet of Vehicles (IoV) and Vehicle-to …
dense network, draws great attentions to the Internet of Vehicles (IoV) and Vehicle-to …
Clustered federated learning in internet of things: Convergence analysis and resource optimization
Federated learning (FL) framework enables user devices to collaboratively train a global
model based on their local data sets without privacy leak. However, the training performance …
model based on their local data sets without privacy leak. However, the training performance …
One bit aggregation for federated edge learning with reconfigurable intelligent surface: Analysis and optimization
As one of the most popular and attractive frameworks for model training, federated edge
learning (FEEL) presents a new paradigm, which avoids direct data transmission by …
learning (FEEL) presents a new paradigm, which avoids direct data transmission by …