Automated and smart meters are devices that are able to monitor the energy consumption of
electricity consumers in near real-time. They are considered key technological enablers of …

Growing energy needs are forcing governments to look for alternative resources and ways to
better manage the energy grid and load balancing. As a major initiative, many countries …

Secure aggregation consists of computing the sum of data collected from multiple sources
without disclosing these individual inputs. Secure aggregation has been found useful for …

As a prominent early instance of the Internet of Things in the smart grid, the advanced
metering infrastructure (AMI) provides real-time information from smart meters to both grid …

For constrained end devices in Internet of Things, such as smart meters (SMs), data
transmission is an energy-consuming operation. To address this problem, we propose an …

In recent years, signal processing applications that deal with user-related data have aroused
privacy concerns. For instance, face recognition and personalized recommendations rely on …

Even though recent years have seen many attacks exposing severe vulnerabilities in
Federated Learning (FL), a holistic understanding of what enables these attacks and how …

The advanced metering infrastructure (AMI) in the smart grid provides real-time information
to both grid operators and customers, exploiting the full potential of demand response (DR) …

Large-scale collection of contextual information is often essential in order to gather statistics,
train machine learning models, and extract knowledge from data. The ability to do so in a …

Smart grid, as the next generation of power grid featured with efficient, reliable, and flexible
characteristics, has received considerable attention in recent years. However, the full …