Machine learning (ML) is extensively used in a wide range of real-world applications that require data all around world to pursue high accuracy global model. Unfortunately, it impossible transmit gathered raw central center for training due privacy, sovereignty and communication cost. This brings the idea geo-distributed machine (Geo-DML), which completes ML model across multiple centers with b...

In the upcoming sixth-generation (6G) era, demand for constructing a wide-area time-sensitive Internet of Things (IoT) continues to increase. As conventional cellular technologies are difficult directly use IoT, it is beneficial non-terrestrial infrastructures, including satellites and unmanned aerial vehicles (UAVs). Thus, we can build network (NTN) using cell-free architecture. Driven by requ...

In this paper we describe a mobile camera localization system that is able to accurately estimate the pose of an hand-held camera inside a known urban environment. The work leverages on a precomputed 3D structure obtained by a hierarchical Structure from Motion pipeline to compute the 2D-3D correspondences needed to orient the camera. The hierarchical cluster structure, given by the SfM, guides...

This paper explores the architecture, implementation and performance of a wide and local area database replication system. The architecture provides peer replication, supporting diverse application semantics, based on a group communication paradigm. Network partitions and merges, computer crashes and recoveries, and message omissions are all handled. Using a generic replication engine and the S...