五、在jupyter中找到results文件夹，然后可以把跑的.h5结果转换为csv文件

pip install tables

import h5py

import numpy as np

import pandas as pd

filename = 'Mnist_FEDL_0.003_0_10u_20b_5_avg.h5'

f = h5py.File(filename, 'r')

# List all groups

print("Keys: %s" % f.keys())

a_group_key = list(f.keys())[0]

# Get the data

data = list(f[a_group_key])

pd.DataFrame(data).to_csv("hi0.csv")

a_group_key = list(f.keys())[0]

pd.DataFrame(data).to_csv("hi0.csv")

a_group_key = list(f.keys())[1]

pd.DataFrame(data).to_csv("hi1.csv")

a_group_key = list(f.keys())[2]

pd.DataFrame(data).to_csv("hi2.csv")

分别能得到全局准确率，训练准确率，训练损失