{"paper":{"title":"TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Alberto Gotta, Alessio Micheli, Antonio Carta, Calogero Calandra, Charalampos Davalas, Christos Sardianos, Claudio Gallicchio, Daniele Di Sarli, Daniele Mazzei, Davide Bacciu, Dimitrios Michail, Emanuele Carlini, Eric Armengaud, Farank Pourdanesh, Fulvio Tagliab\\`o, Gabriele Mencagli, George Bravos, Georg Macher, Iraklis Varlamis, Jakob Valtl, J\\\"urgen Dobaj, Konstantinos Tserpes, Manlio Bacco, Maria Carmela Degennaro, Massimo Coppola, Omar Veledar, Patrizio Dazzi, Pietro Cassara, Riccardo Groppo, Roberta Peroglio, Rosaria Potenza, Salvatore Petroni, Siranush Akarmazyan, Sylvain Girbal, Vincenzo Lomonaco","submitted_at":"2021-07-14T08:25:58Z","abstract_excerpt":"This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment comprising both virtual and physical resources spanning the edge-cloud continuum. TEACHING puts forward a human-centred vision leveraging the physiological, emotional, and cognitive state of the users as a driver for the adaptation and optimization of the autonomous applications. It does so by building a distributed, embedded and federated learning system complemented by methods and tools to enforce its dependability,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.06543","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2107.06543/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}