DOI: 10.14232/phd.10590
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Collaborative Mobile Gossip Learning

Abstract: and the European Social Fund under the grant number TAMOP-4.2.2.C-11/1/KONV-2012-0013 ("FuturICT.hu"). I am very grateful for this support, which definitely acted as a spur for the submission of this thesis. ContentsContents iii List of Algorithms vi List of Tables viiList of Figures x LIST OF FIGURES 5.4 Experimental results with n = 1000, and mixed payload (between 1000 ms and 10000 ms transmission time) with a varying number of random walks. 5.5 Experimental results with n = 1000, and large payload (10000 m… Show more

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