Research Article
Local Epochs Inefficiency Caused by Device Heterogeneity in Federated Learning
Table 4
Layer features in the convolutional layer.
| | Features | Description |
| | Batchsize | The size of a batch. | | Elements_matrix | The number of elements of input. | | Elements_kernel | The number of elements of convolutional kernel. | | Channels_in | The number of input channels. | | Channels_out | The number of output channels. | | Padding | The number of edge padding. | | Strides | The step size of convolution. | | Use_bias | Whether to use bias, 0: not use 1: use. | | Opt_SGD | Whether to use SGD optimizer, 0: not use 1: use. | | Opt_Adadelta | Whether to use Adadelta optimizer, 0: not use 1: use. | | Opt_Adagrad | Whether to use Adagrad optimizer, 0: not use 1: use. | | Opt_Momentum | Whether to use momentum optimizer, 0: not use 1: use. | | Opt_Adam | Whether to use Adam optimizer, 0: not use 1: use. | | Opt_RMSProp | Whether to use RMSProp optimizer, 0: not use 1: use. | | Act_relu | Whether to use ReLu activation, 0: not use 1: use. | | Act_tanh | Whether to use tanh activation, 0: not use 1: use. | | Act_sigmoid | Whether to use sigmoid activation, 0: not use 1: use. |
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