{"id":458,"date":"2013-12-07T09:05:39","date_gmt":"2013-12-07T08:05:39","guid":{"rendered":"https:\/\/ricerca.di.unipi.it\/lift\/"},"modified":"2013-12-07T09:05:39","modified_gmt":"2013-12-07T08:05:39","slug":"lift","status":"publish","type":"post","link":"https:\/\/ricerca.di.unipi.it\/en\/lift\/","title":{"rendered":"LIFT"},"content":{"rendered":"<p lang=\"it-IT\" style=\"margin-bottom: 0cm; line-height: 100%;\"><span style=\"color: #000000;\"><strong>Using Local Inference in Massively Distributed System<\/strong><img decoding=\"async\" title=\"LIFT\" src=\"\/images\/Ricerca\/lift-pedreschi.png\" alt=\"LIFT logo\" width=\"180\" align=\"right\" \/><\/span><\/p>\n<p>EU <span style=\"color: #000000;\">FET-Open<\/span> FP7<\/p>\n<p><a>http:\/\/lift-eu.org\/<\/a><\/p>\n<p class=\"bodytext\">As the scale of today\u2019s networked techno-social systems continues to increase, the analysis of their global phenomena becomes increasingly difficult, due to the continuous production of streams of data scattered among distributed, possibly resource-constrained nodes, and requiring reliable resolution in (near) real-time.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Using Local Inference in Massively Distributed System EU FET-Open FP7 http:\/\/lift-eu.org\/ As the scale of today\u2019s networked techno-social systems continues&hellip;<\/p>\n<p><a class=\"btn btn-dark btn-sm unipi-read-more-link\" href=\"https:\/\/ricerca.di.unipi.it\/en\/lift\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[77],"tags":[],"class_list":["post-458","post","type-post","status-publish","format-standard","hentry","category-research-projects"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - 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