Readded Aurelien TODOs

main.tex

@@ -467,7 +467,7 @@ Figure~\ref{fig:d-cliques-cifar10-convolutional} shows convergence speeds for al
 \section{Related Work}
 \label{section:related-work}
 
-%\aurelien{TODO: where to place TornadoAggregate and related refs?}
+\aurelien{TODO: where to place TornadoAggregate and related refs?}
 
 \paragraph{Dealing with non-IID data in server-based FL.}
 Dealing with non-IID data in server-based FL has
@@ -500,7 +500,7 @@ the rows and columns of $W$ do not exactly
 sum to $1$ (due to finite precision), these small differences get amplified by
 the proposed updates and make the algorithm diverge.}
 
-%\aurelien{emphasize that they only do small scale experiments}
+\aurelien{emphasize that they only do small scale experiments}
 
 % non-IID known to be a problem for fully decentralized FL. cf Jelasity paper
 % D2 and other recent papers on modifying updates: Quasi-Global Momentum,
@@ -516,7 +516,7 @@ algorithm \cite{lian2017d-psgd} beyond removing some neighbor
 contributions
 that would otherwise bias the direction of the gradient.
 
-%\aurelien{add personalized models - or merge all that in specific paragraph}
+\aurelien{add personalized models - or merge all that in specific paragraph}
 
 % An originality of our approach is to focus on the effect of topology
 % level without significantly changing the original simple and efficient D-SGD