{"id":218,"date":"2016-10-21T07:36:22","date_gmt":"2016-10-21T07:36:22","guid":{"rendered":"http:\/\/195.251.252.120\/wordpress\/?page_id=218"},"modified":"2016-10-31T14:22:14","modified_gmt":"2016-10-31T14:22:14","slug":"research-highlights","status":"publish","type":"page","link":"http:\/\/rtds.aueb.gr\/index.php\/research-highlights\/","title":{"rendered":"Research Highlights"},"content":{"rendered":"

Research Highlights<\/h1>\n
\r\n
\r\n \r\n\t\tIgNITE: Scheduling Pipeline-Parallel DNN Training Jobs on Heterogeneous Infrastructures, DEBS, 2025\t<\/a>\r\n\t<\/div>\r\n
\r\n\t
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Phivos Dadamis, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos\n\n
Link<\/a> <\/strong>\n\n<\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n

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\r\n \r\n\t\tTrustworthy Scheduling for Big Data Applications, IEEE Big Data, 2025\t<\/a>\r\n\t<\/div>\r\n
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Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
\n\nLink<\/a> <\/strong>\n<\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n

\r\n
\r\n \r\n\t\tVertical Scaling Can Save Time: Optimizing Container Scheduling to Handle Sudden Bursts, DEBS, 2025\t<\/a>\r\n\t<\/div>\r\n
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Aristotelis Peri, Michail Tsenos, Vana Kalogeraki\n
Link<\/a> <\/strong>\n<\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n

\r\n
\r\n \r\n\t\tExploring GPU-Based Workload Scheduling Techniques for Edge Computing, IC2E, 2025\t<\/a>\r\n\t<\/div>\r\n
\r\n\t
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\n

Michail Tsenos, Vana Kalogeraki\n
Link<\/a> <\/strong>\n\n<\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n

\r\n
\r\n \r\n\t\tSTRATA: Random Forests going Serverless, Middleware, 2024\t<\/a>\r\n\t<\/div>\r\n
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Dimitrios Tomaras, Sebastian Buschj\u00e4ger, Vana Kalogeraki, Katharina Morik, Dimitrios Gunopulos\n
Link<\/a> <\/strong>\n\n<\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n

\r\n
\r\n \r\n\t\tDynamic storage selection for mitigating tail latency in serverless pipelines, ACSOS, 2024\t<\/a>\r\n\t<\/div>\r\n
\r\n\t
\r\n\t\t
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Michail Tsenos, Aristotelis Peri, Vana Kalogeraki
Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n

\r\n
\r\n \r\n\t\tFault Tolerance Enhancements for Redundancy Conversion with Diagonally Interleaved Coding, EDCC 2026\t<\/a>\r\n\t<\/div>\r\n
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\n

Ioannis Tzouros, Vana Kalogeraki<\/p>\n\n\n\n

<\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n

\r\n
\r\n \r\n\t\tAutoFairML: An Automated Middleware for Fairness Auditing in Real-world AI Pipelines, ICDCS 2025\t<\/a>\r\n\t<\/div>\r\n
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\n

Dimitrios Tomaras, Vana Kalogeraki, Christos Varytimidis, Evangelos Anagnostopoulos, Rahul Nair, Elizabeth M. Daly, Jakub Marecek and Dimitrios Gunopulos\n
Link<\/a> <\/strong> <\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n

\r\n
\r\n \r\n\t\tRAGNN: A Resource-Aware System for Graph Neural Network Training at Scale\t<\/a>\r\n\t<\/div>\r\n
\r\n\t
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\n

Phivos Dadamis, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos<\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

Research Highlights<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"homepage.php","meta":[],"_links":{"self":[{"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/pages\/218"}],"collection":[{"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/comments?post=218"}],"version-history":[{"count":2,"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/pages\/218\/revisions"}],"predecessor-version":[{"id":646,"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/pages\/218\/revisions\/646"}],"wp:attachment":[{"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/media?parent=218"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}