Context: Nowadays the majority of all worldwide Web traffic comes from mobile devices, as
we tend to primarily rely on the browsers installed on our smartphones and tablets (eg …

Federated learning (FL) is a distributed learning technique that trains a shared model over
distributed data in a privacy-preserving manner. Unfortunately, FL's performance degrades …

Deep Learning (DL) is increasingly being integrated into Web applications through a
method known as" in-browser inference", where the DL processes occur directly within Web …

Today's Web remains too expensive for many Internet users, especially in developing
regions. Unfortunately, the rising complexity of the Web makes affordability an even bigger …

The mobile Web is growing as more and more people use a smart device to access online
services. This rapid growth of mobile Web usage is accompanied by the evolution of the …

Web applications have increasingly adopted Deep Learning (DL) through in-browser
inference, wherein DL inference performs directly within Web browsers. The actual …

Distributed learning based on JavaScript-based frontends is typically implemented at the
endpoint to maximize performance. Yet, JavaScript-based frontends often experience …

Context. Many Internet content platforms, such as Spotify and YouTube, provide their
services via both native and Web apps. Even though those apps provide similar features to …

Today's Web remains too expensive for many Internet users, especially in developing
regions. Unfortunately, the rising complexity of the Web makes affordability an even bigger …

Today's deep learning systems rely on large amounts of useful data to make accurate
predictions. Often such data is private and thus not readily available due to rising privacy …