The Encoding-Decoding Architecture is a framework used in machine learning and signal processing to transform input data into a different format and then back to its original form, often used to compress data or extract features. This architecture is fundamental in applications like neural machine translation, autoencoders, and image processing, where it enables efficient data representation and reconstruction.