Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Layer-wise Adaptive Gradient Sparsification for Distributed Deep
  Learning with Convergence Guarantees   To reduce the long training time of large deep neural network (DNN) models,
distributed synchronous stochastic gradient descent (S-SGD) is commonly used on
a cluster of workers. However, the speedup brought by multiple workers is
limited by the communication overhead. Two approaches, namely pipelining and
gradient sparsification, have been separately proposed to alleviate the impact
of communication overheads. Yet, the gradient sparsification methods can only
initiate the communication after the backpropagation, and hence miss the
pipelining opportunity. In this paper, we propose a new distributed
optimization method named LAGS-SGD, which combines S-SGD with a novel
layer-wise adaptive gradient sparsification (LAGS) scheme. In LAGS-SGD, every
worker selects a small set of "significant" gradients from each layer
independently whose size can be adaptive to the communication-to-computation
ratio of that layer. The layer-wise nature of LAGS-SGD opens the opportunity of
overlapping communications with computations, while the adaptive nature of
LAGS-SGD makes it flexible to control the communication time. We prove that
LAGS-SGD has convergence guarantees and it has the same order of convergence
rate as vanilla S-SGD under a weak analytical assumption. Extensive experiments
are conducted to verify the analytical assumption and the convergence
performance of LAGS-SGD. Experimental results on a 16-GPU cluster show that
LAGS-SGD outperforms the original S-SGD and existing sparsified S-SGD without
losing obvious model accuracy.

31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin
2
The categories of this paper are: math
15
The categories of this paper are: nucl-ex
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
7
The categories of this paper are: hep-th
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
18
The categories of this paper are: econ