Federated learning (FL) has achieved state-of-the-art performance in distributed learning
tasks with privacy requirements. However, it has been discovered that FL is vulnerable to …

Outsourcing storage has emerged as an effective solution to manage the increasing volume
of data. With the popularity of pay-as-you-go payment models in outsourcing storage, data …

Cybersecurity in mission-critical robotic applications is a necessity to scale deployments
securely. ROS2 builds upon DDS-Security specs in ROS Client Library (RCL) to implement …

Federated learning offers a framework for collaborative machine learning without
compromising data privacy, an especially critical feature when dealing with sensitive graph …

The Data Distribution Service (DDS) constructs a highly available data transmission
middleware based on the publish-subscribe model, widely used in the Internet of Things …

The Data Distribution Service (DDS) is a widely accepted industry standard for reliably
exchanging data over the network using a publish-subscribe model. While DDS already …

Abstract Robot Operating System 2 (ROS 2) is the de-facto standard framework for
develo** distributed robotic applications. However, ensuring the correctness and security …

Robot Operating System (ROS) is a software framework for robotic systems that includes
various packages for develo** robotic applications. Composition is a package that …

ROS2 is a popular publish/subscribe based middleware that allows developers to build and
deploy a widevariety of distributed robotics applications. Unfortunately, ROS2 offers …

Data Distribution Service (DDS) is a distributed network protocol widely used in cyber-
physical systems. DDS provides flexible configurations defined in the formal design …