epfml / chocosgd Goto Github PK
View Code? Open in Web Editor NEWDecentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
License: Apache License 2.0
Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
License: Apache License 2.0
Hi,
It's a really nice work! But what's the difference between ParallelCHOCO and ParallelCHOCO_V?
Thanks!
Hi, could you please provide more detailed information about the environment, like how to deploy kubernetes?
In Table 1, the minimal compression ratio is 0.01. Can the compression ratio be reduced further? Is there a minimal ratio that can guarantee accuracy not drop too much?
In utils/topology.py
for the TorusGraph
class, the mixing matrix is initialized as:
for i in range(0, mixing_matrix.shape[0]):
mixing_matrix[i][i] = 1
mixing_matrix = mixing_matrix / 5
return mixing_matrix
However, mixing_matrix = mixing_matrix / 5
doesn't produce doubly stochastic matrices. For example, for n=4 nodes, this is the mixing matrix.
A simple fix could probably be:
rows = (mixing_matrix != 0).sum(1)
mixing_matrix = mixing_matrix/rows[0]
return mixing_matrix
Hello! I wonder can DL code be run on a computer using CPU?
In this line
Line 98 in 3cb976a
ChocoSGD/dl_code/tmux_cluster/tmux.py
Line 28 in 3cb976a
ChocoSGD/dl_code/tmux_cluster/tmux.py
Line 41 in 3cb976a
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