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UID:3mmckjrc81snnoda72aqih97rg@google.com
CATEGORIES:{lang hu}Sztochasztika szeminárium{/lang}{lang en}Stochastics seminar{/lang}
SUMMARY:Szabó Botond (Universiteit Leiden): On the fundamental understanding of distributed computation
LOCATION:Szeged, Aradi vértanúk tere 1., Riesz terem
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:Abstract: In recent years, the amount of available information has become s
o vast in certain fields of applications that it is infeasible or undesirab
le to carry out all the computations on a single server. This has motivated
the design and study of distributed statistical or learning approaches. In
distributed methods, the data is split amongst different administrative un
its and computations are carried out locally in parallel to each other. The
outcome of the local computations are then aggregated into a final result
on a central machine.\nIn this talk we will consider the limitations and gu
arantees of distributed methods under communication constraints (i.e. only
limited amount of bits are allowed to be transmitted between the machines)
in context of the random design regression model. We derive minimax lower b
ounds, matching upper bounds and provide adaptive estimators reaching these
limits.\nThis is a joint work with Harry van Zanten.
DTSTAMP:20221203T231612Z
DTSTART;TZID=Europe/Budapest:20190920T140000
DTEND;TZID=Europe/Budapest:20190920T160000
SEQUENCE:1
TRANSP:OPAQUE
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