The Internet of Things (IoT) envisages a future in which digital and physical things or objects
(eg, smartphones, TVs, cars) can be connected by means of suitable information and …

Wireless sensor networks (WSNs) have grown considerably in recent years and have a
significant potential in different applications including health, environment, and military …

Federated learning involves training statistical models over remote devices or siloed data
centers, such as mobile phones or hospitals, while kee** data localized. Training in …

Federated learning poses new statistical and systems challenges in training machine
learning models over distributed networks of devices. In this work, we show that multi-task …

Due to a rapidly increasing aging population and its associated challenges in health and
social care, Ambient Assistive Living has become the focal point for both researchers and …

Managing and securing networks requires collecting and analyzing network traffic data in
real time. Existing telemetry systems do not allow operators to express the range of queries …

In this book, the authors describe the fundamental concepts and practical aspects of
wireless sensor networks. The book provides a comprehensive view to this rapidly evolving …

Distributed Systems Page 1 DS 2006; Ch1 16-Jan-06 Timo Alanko, 2006 1 Distributed
Systems Spring 2006 Timo Alanko 16-Jan-06 2 Sources of material • Tanenbaum, van …

In the last years, wireless sensor networks (WSNs) have gained increasing attention from
both the research community and actual users. As sensor nodes are generally battery …

In a typical Internet of Things (IoT) deployment such as smart cities and Industry 4.0, the
amount of sensory data collected from physical world is significant and wide-ranging …