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SaCS
Distributed Machine Learning
D-Cliques
Commits
53e95265
Commit
53e95265
authored
3 years ago
by
aurelien.bellet
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mlsys2022style/exp.tex
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mlsys2022style/exp.tex
mlsys2022style/setting.tex
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mlsys2022style/setting.tex
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mlsys2022style/exp.tex
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53e95265
% !TEX root = main.tex
\section
{
Comparative Evaluation and Extension
s
}
\section
{
Experiment
s
}
\label
{
section:non-clustered
}
In this section, we first compare D-Cliques to alternative topologies to
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mlsys2022style/setting.tex
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53e95265
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@@ -14,10 +14,10 @@ node has
access to a local dataset that
follows its own local distribution
$
D
_
i
$
which may differ from that of other
nodes.
In this work, we
focus on
label distribution skew: denoting by
$
p
_
i
(
x,y
)=
p
_
i
In this work, we
tackle
label distribution skew: denoting by
$
p
_
i
(
x,y
)=
p
_
i
(
x|y
)
p
_
i
(
y
)
$
the
probability of
$
(
x,y
)
$
under the local distribution
$
D
_
i
$
of node
$
i
$
, we
assume that
$
p
_
i
(
y
)
$
varies
across nodes. We refer to
assume that
$
p
_
i
(
y
)
$
may vary
across nodes. We refer to
\cite
{
kairouz2019advances,quagmire
}
for concrete examples of problems
with label distribution skew.
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