Distributed convex optimization using ADMMDistributed convex optimization using ADMM Διπλωματική Εργασία Diploma Work 2015-01-092014enLately, in engineering it has been necessary to develop algorithms that handle “big data” optimization problems in a distributed manner. In this thesis, we present ADMM (Alternating Direction Method of Multipliers) algorithm, as the basic tool for solving these kinds of problems, and its application in machine learning and signal processing problems. http://creativecommons.org/licenses/by/4.0/Πολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών ΥπολογιστώνChristodouleas_Dimitrios_Dip_2014.pdfChania [Greece]Library of TUC2015-01-09application/pdf759.5 kBfree Christodouleas Dimitrios Χριστοδουλεας Δημητριος Garofalakis Minos Γαροφαλακης Μινως Digalakis Vasilis Διγαλακης Βασιλης Liavas Athanasios Λιαβας Αθανασιος Πολυτεχνείο Κρήτης Technical University of Crete Convex optimization Parallel algorithms Learning, Machine machine learning learning machine Processing, Signal signal processing processing signal