Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

func X is a distributed function as a service (FaaS) platform that enables flexible, scalable,
and high performance remote function execution. Unlike centralized FaaS systems, func X …

Advances in networks, accelerators, and cloud services encourage programmers to
reconsider where to compute---such as when fast networks make it cost-effective to compute …

Serverless computing enables greater flexibility and efficiency in the cloud-to-edge
continuum. Artificial Intelligence and Machine Learning (AI/ML) applications benefit greatly …

Serverless computing has attracted many researchers with features such as scalability and
optimization of operating costs, no need to manage infrastructures, and build programs at a …

Task-based execution frameworks, such as parallel programming libraries, computational
workflow systems, and function-as-a-service platforms, enable the composition of distinct …

Federated Learning (FL) is a recent approach for distributed Machine Learning (ML) where
data are never communicated to a central node. Instead, an ML model (for example, a deep …

Nowadays, machine learning affects practically every industry, but the effectiveness of these
systems depends on the accessibility of training data sets. Every device now produces data …

Federated Learning (FL) is a decentralized machine learning paradigm where models are
trained on distributed devices and are aggregated at a central server. Existing FL …

Python has become the language of choice for managing many scientific applications.
However, when distributing a Python application, it is necessary that all application …