The low-rank matrix factorization models effectively reduce the size of the parameter space, while the asynchronous distributed stochastic gradient descent algorithms enable fast completion of the adjacency matrix. We validate the proposed algorithms using two real-world datasets on a distributed shared-...
Distributed Stochastic Gradient Descent with Event-Triggered Communication 的渐近均方收敛到临界点,并提供了所提出算法的收敛速度。我们将开发的算法应用于分布式监督学习问题,在该问题中,一组网络代理共同训练他们各自的神经网络以执行图像分类。结果表明,分布式训练的网络能够产生与...了一种分布式事件触发的随机梯度下...
Variance reduction (VR) methods boost the performance of stochastic gradient descent (SGD) by enabling the use of larger stepsizes and preserving linear convergence rates. However, current variance reduced SGD methods require either high memory usage or require a full pass over the (large) data ...
Unlike existing distributed stochastic gradient schemes, CentralVR exhibits linear performance gains up to thousands of cores for massive datasets.De, SohamTaylor, GavinGoldstein, TomMathematicsS. De, G. Taylor, and T. Goldstein, "Scaling up distributed stochastic gradient descent using variance ...
在此框架内,我们开发了两种大规模分布式训练算法:(i)Downpour SGD,一种支持大量模型副本的异步随机梯度下降(asynchronous stochastic gradient descent)过程;(ii)Sandblaster,一种支持多种分布式批优化(distributed batch optimization)过程的框架,包括L-BFGS的分布式实现。
INTERSPEECH 2014 | 1-Bit Stochastic Gradient Descent and its Application to Data-Parallel Distributed Training of Speech DNNs 这篇文章之前也读过,不过读的不太仔细,论文中的一些细节并没有注意到。最近为了写开题报告,又把这篇论文细读了一遍。据笔者了解,这篇论文应该是梯度量化领域的开山之作,首次使用了...
那么如果scale太大,需要分布式呢?分布式机器学习大致有以下几个思路: 对于计算量太大的场景(计算并行),可以多线程/多节点并行计算。常用的一个算法就是同步随机梯度下降(synchronous stochastic gradient descent),含义大致相当于K个(K是节点数)mini-batch SGD [ch6.2] ...
This is a placeholder repository for Consensus Based Distributed Stochastic Gradient Descent. For more details, please see the paper: Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar Usage python main.py -m CNN -b 512 -ep 200 -d ci...
摘要: We study federated machine learning (ML) at the wireless edge, where power- and bandwidth-limited wireless devices with local datasets carry out distributed stochastic gradient des... 查看全部>>关键词: Approximate message passing (AMP) federated learning (FL) over-the-air computation ...
Distributed Stochastic Gradient Descent with Event-Triggered Communication )。)。除了服务器客户端架构外,还提出了一种共享内存(多核/多GPU)架构,其中不同的处理器独立计算梯度并使用共享内存更新全局模型参数,作为分布式机器学习问题的解决方案( Recht等人,2011; De Sa...了一种针对非凸问题的通信有效的分布式随...