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SaCS
Distributed Machine Learning
D-Cliques
Commits
f02d2299
Commit
f02d2299
authored
3 years ago
by
Erick Lavoie
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Fixed typos in Alg. 2
parent
4d75623a
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mlsys2022style/appendix.tex
+1
-1
1 addition, 1 deletion
mlsys2022style/appendix.tex
mlsys2022style/d-cliques.tex
+4
-4
4 additions, 4 deletions
mlsys2022style/d-cliques.tex
with
5 additions
and
5 deletions
mlsys2022style/appendix.tex
+
1
−
1
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f02d2299
...
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@@ -355,7 +355,7 @@ using the corresponding input functions.
In this section, we provide figures analogous to those of the main text for reference.
We provide comments only if the results deviate substantially.
\todo
{
EL: Provide links in each caption to the equivalent figure in the main text.
}
%
\todo{EL: Provide links in each caption to the equivalent figure in the main text.}
% From directory 'results-v2':
% MNIST
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mlsys2022style/d-cliques.tex
+
4
−
4
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f02d2299
...
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@@ -139,16 +139,16 @@ decentralized averaging in a pre-processing step (e.g.~\cite{jelasity2005largego
\STATE
$
s'
\leftarrow
\textit
{
skew
}
(
C
_
1
\setminus\{
i
\}\cup\{
j
\}
)
+
\textit
{
skew
}
(
C
_
2
\setminus\{
i
\}\cup\{
j
\}
)
$
\hspace*
{
-.05cm
}
\IF
{$
s' < s
$}
\STATE
\textit
{
swaps
}
.append(
$
(
n
_
1
, n
_
2
)
$
)
\STATE
\textit
{
swaps
}
.append(
$
(
i, j
)
$
)
\ENDIF
\ENDFOR
\IF
{
len(
\textit
{
swaps
}
)
$
>
0
$}
\STATE
$
(
n
_
1
,n
_
2
)
\leftarrow
$
random element from
$
\STATE
$
(
i,j
)
\leftarrow
$
random element from
$
\textit
{
swaps
}$
\STATE
$
C
_
1
\leftarrow
C
_
1
\setminus\{
j
\}\cup\{
i
\}
; C
_
2
\leftarrow
C
_
2
\setminus\{
j
\}\cup\{
i
\}
$
\STATE
$
C
_
1
\leftarrow
C
_
1
\setminus\{
i
\}\cup\{
j
\}
; C
_
2
\leftarrow
C
_
2
\setminus\{
j
\}\cup\{
i
\}
$
\ENDIF
\ENDFOR
\STATE
$
E
\leftarrow
\{
(
i,j
)
: C
\in
DC, i,j
\in
C, i
\neq
j
\}
$
\STATE
$
E
\leftarrow
\{
(
i
'
,j
'
)
: C
\in
DC, i
'
,j
'
\in
C, i
'
\neq
j
'
\}
$
% \STATE $G \leftarrow$ graph composed of the cliques in $DC$
\RETURN
topology
$
G
=(
\{
1
,
\dots
,n
\}
,E
\cup
\texttt
{
inter
}
(
DC
))
$
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