this study was conducted to compare the methods of seed bedpreparation in rangelands of khash region in sistan and baluchestan province iniran. a split plot design was conducted based on randomized complete blockdesign with three replications in 1999. five seed bed preparation methods wereused as main plot as: 1) seed sown by passing livestock. 2) seed sown machinery.3) seeds sown as drilled in...

We propose two coded schemes for the distributed computing problem of multiplying a matrix by a set of vectors. The first scheme is based on partitioning the matrix into submatrices and applying maximum distance separable (MDS) codes to each submatrix. For this scheme, we prove that up to a given number of partitions the communication load and the computational delay (not including the encoding...

Distributed implementations are crucial in speeding up large scale machine learning applications. gradient descent (GD) is widely employed to parallelize the task by distributing dataset across multiple workers. A significant performance bottleneck for per-iteration completion time distributed synchronous GD straggling Coded computation techniques have been introduced recently mitigate straggle...

in the past, health planning in iran has been carried out in the context of short-range economic plans. although this mechanism has helped a great deal in the achievement of certain health plans however, the said scheme has been short in meeting the health objectives on a comprehensive basis. most often, the heath programs have lost their values to the priority and cost effectiveness of economi...

the effects of range management plans (rmp) on soil and vegetationcharacteristics were studied in eshtehard rangelands at alborz province. the parameters ofyield, canopy cover, range condition and trend, bulk density, organic matter (om%),nitrogen (n), phosphorous (p) and potassium (k) were estimated on soil samples in sitesof ghenzel cheshmeh as rmp and sanctum of rahmanyeh village. the data w...

Unlike theoretical analysis of distributed learning (DL) in the literature, DL over wireless edge networks faces inherent dynamics/uncertainty connections and nodes, making less efficient or even inapplicable under highly dynamic networks. This article addresses these problems by leveraging recent advances coded computing deep dueling neural network architecture. By introducing structures/redun...

We present two novel federated learning (FL) schemes that mitigate the effect of straggling devices by introducing redundancy on devices’ data across network. Compared to other in literature, which deal with stragglers or device dropouts ignoring their contribution, proposed do not suffer from client drift problem. The first scheme, CodedPaddedFL, mitigates while retaining privacy level convent...