Timely lameness detection is one of the major and costliest health problems in dairy cattle
that farmers and practitioners haven't yet solved adequately. The primary reason behind this …

Summary Internet of Things (IoT), fog computing, cloud computing, and data‐driven
techniques together offer a great opportunity for verticals such as dairy industry to increase …

Fog computing promises to enable machine learning tasks to scale to large amounts of data
by distributing processing across connected devices. Two key challenges to achieving this …

Fog computing promises to enable machine learning tasks to scale to large amounts of data
by distributing processing across connected devices. Two key challenges to achieving this …

The edge of the network plays a vital role in an Internet of Things (IoT) system, serving as an
optimal site to perform an operation on data before transmitting it over the network. We …

The intrinsic nature of non-independent and identically distributed datasets on
heterogeneous devices slows down the distributed model training process and reduces the …

Increase in the usage of Internet of Things (IoT) devices across physical systems has
provided a platform for continuous data collection, real-time monitoring, and extracting …

Fog computing represents a generalization of traditional cloud computing, in which
application functionality resides at a local device and a remote cloud server. This chapter …

In the mobile Internet era, data has become the essential ingredient for numerous mobile
services such as video streaming, GPS navigation, and on-device intelligence …

Inherent non-iid characteristic of heterogeneous devices' local dataset slows down the
model training process and decreases the training accuracy. To tackle this problem, we …