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Accuracy vs. traffic trade-off of learning IoT data patterns at the edge with hypothesis transfer learning.

, , and . RTSI, page 1-6. IEEE, (2016)

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Toward a space-time mobility model for social communities., , and . WIRN, volume 204 of Frontiers in Artificial Intelligence and Applications, page 19-28. IOS Press, (2009)An opportunistic platform for Android-based mobile devices., , , and . MobiOpp, page 191-193. ACM, (2010)Centralised vs decentralised anomaly detection: when local and imbalanced data are beneficial., , and . LIDTA@ECML/PKDD, volume 154 of Proceedings of Machine Learning Research, page 7-20. PMLR, (2021)A unified learning space for a network of mobile neurons., , and . WIRN, volume 234 of Frontiers in Artificial Intelligence and Applications, page 292-302. IOS Press, (2011)Autonomic cognitive-based data dissemination in Opportunistic Networks., , , and . WOWMOM, page 1-9. IEEE Computer Society, (2013)The effect of network topologies on fully decentralized learning: a preliminary investigation., , , and . NetAISys@MobiSys, page 5:1-5:6. ACM, (2023)Optimal trade-off between accuracy and network cost of distributed learning in Mobile Edge Computing: An analytical approach., , and . WoWMoM, page 1-9. IEEE, (2017)A cognitive-based solution for semantic knowledge and content dissemination in opportunistic networks., , , and . WOWMOM, page 1-6. IEEE Computer Society, (2013)Design and evaluation of a cognitive approach for disseminating semantic knowledge and content in opportunistic networks., , , and . Comput. Commun., (2016)Variational Autoencoders for Noise Resistant Traffic Generation in B5G Networks., , and . MeditCom, page 13-18. IEEE, (2024)