Data is a key resource for research in networked systems, from evaluating systems or protocols to training new AI/ML models....

If you’re concerned about AI’s fine print, this talk is for you. We’ll begin with adversarial machine learning and data...

After a brief talk about how networks work, the class will be divided into 5 EU countries that must transmit...

This talk traces a journey across research and entrepreneurship, from network economics to software for physics data. It began at...

Cellular networks support many facets of our everyday lives, ranging from a quick web search on the go to requesting...

The ongoing development of individual radio and radar sensor systems, in terms of both hardware and software, as well as...

The Network Scale-up Method (NSUM) is a technique that emerged as an alternative to traditional survey methods and estimates the...

This thesis contributes to the development of the Network Scale-up Method (NSUM). This technique emerged as an alternative to traditional...

Traditional federated learning (FL) relies on a central aggregator, creating potential performance bottlenecks and privacy risks. Decentralized alternatives remove the...

Can passively collected mobile-network data reveal useful public-health signals during an epidemic, without apps, contact tracing, or individual diagnosis? We...