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UID:381@lincs.fr
DTSTART;TZID=Europe/Paris:20180328T140000
DTEND;TZID=Europe/Paris:20180328T150000
DTSTAMP:20180314T080540Z
URL:https://www.lincs.fr/events/user-centric-personal-data-analytics-on-th
 e-edge/
SUMMARY:User-Centric Personal Data Analytics on the Edge
DESCRIPTION: Abstract: In this talk\, I present our ongoing work on
 utilising edge-computing to improve the scalability and privacy of
 user-centred analytics in the context of personal/IoT data. I present an
 architecture where devices and resources centred around the user\,
 collectively referred to as the edge\, can complement the cloud for
 providing privacy-aware\, yet accurate and efficient analytics. I then
 present the evaluations of the proposed framework for applying
 privacy-preserving deep learning techniques on a number of exemplar
 applications\, and discuss the broader implications of such approaches for
 future systems such as the Databox platform.\n&nbsp\;\n Bio: Hamed is a
 Senior Lecturer (~Associate Professor) and the Deputy Director of Research
 in the Dyson School of Design Engineering\, and an Academic Fellow of the
 Data Science Institute\, at The Faculty of Engineering at Imperial College
 London. He is interested in User-Centered Systems\, IoT\, Applied Machine
 Learning\, and Data Security &amp\; Privacy. He enjoys designing and
 building systems that enable better use of our digital footprint\, while
 respecting users' privacy. He is also broadly interested in sensing
 applications and Human-Data
 Interaction.\n&nbsp\;\nhttps://haddadi.github.io/
CATEGORIES:Seminars
LOCATION:LINCS Seminars room\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.828400;2.356897
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20180325T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
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