Abstract: Federated learning is a distributed machine learning paradigm designed to facilitate collaborative model training while preserving user data privacy. However, in practical scenarios, data ...
This demo demonstrates a distributed locking mechanism using Apache ZooKeeper to coordinate access between multiple API replicas trying to write to a shared text file. In distributed systems, multiple ...
Abstract: Distributed sensing through video, audio, radar and other sensors is strongly growing with application areas such as smart homes and Internet of Things. The concept of edge computing ...
Earth observation (EO) constellations capture huge volumes of high-resolution imagery every day, but most of it never reaches the ground in time for model training. Downlink bandwidth is the main ...
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