-
Notifications
You must be signed in to change notification settings - Fork 35
/
train.go
228 lines (195 loc) · 8.92 KB
/
train.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package logic
import (
"math"
"math/big"
"github.com/PaddlePaddle/PaddleDTX/crypto/client/service/xchain"
"github.com/PaddlePaddle/PaddleDTX/crypto/common/math/homomorphism/paillier"
ml_common "github.com/PaddlePaddle/PaddleDTX/crypto/core/machine_learning/common"
logic_vertical "github.com/PaddlePaddle/PaddleDTX/crypto/core/machine_learning/logic_regression/mpc_vertical"
vl_common "github.com/PaddlePaddle/PaddleDTX/dai/crypto/vl/common"
pb_common "github.com/PaddlePaddle/PaddleDTX/dai/protos/common"
)
var xchainCryptoClient = new(xchain.XchainCryptoClient)
// GetTrainDataSetFromFile retrieve train dataset from file for tag/no-tag part
// fileRows is sample rows, first row is feature list, others are values for each sample
// params includes all required parameters for training
func GetTrainDataSetFromFile(fileRows [][]string, params pb_common.TrainParams) (*ml_common.TrainDataSet, error) {
features, err := xchainCryptoClient.LogRegImportFeatures(fileRows, params.Label, params.LabelName)
if err != nil {
return nil, err
}
dataSet := &ml_common.DataSet{
Features: features,
}
standardizedData := xchainCryptoClient.LogRegVLStandardizeDataSet(dataSet, params.Label)
if params.IsTagPart {
return xchainCryptoClient.LogRegVLPreProcessDataSetTagPart(standardizedData, params.Label), nil
}
return xchainCryptoClient.LogRegVLPreProcessDataSet(standardizedData), nil
}
// InitThetas initialize model for tag/no-tag part
func InitThetas(trainSet *ml_common.TrainDataSet, params pb_common.TrainParams) []float64 {
if params.IsTagPart {
thetas := make([]float64, len(trainSet.TrainSet[0])-2)
return thetas
}
thetas := make([]float64, len(trainSet.TrainSet[0])-1)
return thetas
}
// CalLocalGradientAndCost calculate local gradient and cost part for tag/no-tag part
// trainSet is local train set, including features list and sample values
// publicKey is local public key for encrypting rawPart to encPart
// rawPart for local calculation for gradient and cost later, encPart for transfer
func CalLocalGradientAndCost(trainSet *ml_common.TrainDataSet, thetas []float64, params pb_common.TrainParams,
publicKey *paillier.PublicKey, round int) (*logic_vertical.RawLocalGradAndCostPart, []byte, [][]float64, error) {
// BGD(Batch Gradient Descent), SGD(Stochastic Gradient Descent) or MBGD(Mini-Batch Gradient Descent)
trainSetThisRound, newSet := vl_common.GetBatchSetBySize(trainSet.TrainSet, params, round, true)
var gradAndCostPart *logic_vertical.LocalGradAndCostPart
var err error
if params.IsTagPart {
gradAndCostPart, err = xchainCryptoClient.LogRegVLCalLocalGradAndCostTagPart(thetas, trainSetThisRound, int(params.Accuracy), int(params.RegMode), params.RegParam, publicKey)
if err != nil {
return nil, nil, nil, err
}
} else {
gradAndCostPart, err = xchainCryptoClient.LogRegVLCalLocalGradAndCost(thetas, trainSetThisRound, int(params.Accuracy), int(params.RegMode), params.RegParam, publicKey)
if err != nil {
return nil, nil, nil, err
}
}
encPartBytes, err := vl_common.LogicEncGradAndCostPartToBytes(gradAndCostPart.EncPart)
if err != nil {
return nil, nil, nil, err
}
return gradAndCostPart.RawPart, encPartBytes, newSet, nil
}
// CalEncGradientAndCost calculate own encrypted gradient and cost, encrypted by other part's public key
// rawPart is calculated locally, otherPartBytes is received from other party
// publicKeyBytes is homomorphic public key bytes received from other party, used for encryption
// thetas is calculated in last round
// return encGradient, encCost, gradient noise, cost noise
// encGradient and encCost are mixed by noise, transferred to other party
// gradient noise and cost noise are plaintext, used to recover real gradient and cost
func CalEncGradientAndCost(rawPart *logic_vertical.RawLocalGradAndCostPart, otherPartBytes []byte, trainSet *ml_common.TrainDataSet,
params pb_common.TrainParams, publicKeyBytes []byte, thetas []float64, round int) ([]byte, []byte, []*big.Int, *big.Int, error) {
otherEncPart, err := vl_common.LogicEncGradAndCostPartFromBytes(otherPartBytes)
if err != nil {
return nil, nil, nil, nil, err
}
publicKey, err := vl_common.HomoPubkeyFromBytes(publicKeyBytes)
if err != nil {
return nil, nil, nil, nil, err
}
// BGD, SGD or MBGD
trainSetThisRound, _ := vl_common.GetBatchSetBySize(trainSet.TrainSet, params, round, false)
var encGradList []map[int]*big.Int
var encGrad *ml_common.EncLocalGradient
var gradientNoise []*big.Int
for i := 0; i < len(thetas); i++ {
if params.IsTagPart {
encGrad, err = xchainCryptoClient.LogRegVLCalEncGradientTagPart(rawPart, otherEncPart, trainSetThisRound, i, int(params.Accuracy), publicKey)
} else {
encGrad, err = xchainCryptoClient.LogRegVLCalEncGradient(rawPart, otherEncPart, trainSetThisRound, i, int(params.Accuracy), publicKey)
}
if err != nil {
return nil, nil, nil, nil, err
}
encGradList = append(encGradList, encGrad.EncGrad)
gradientNoise = append(gradientNoise, encGrad.RandomNoise)
}
var encCost *ml_common.EncLocalCost
if params.IsTagPart {
encCost, err = xchainCryptoClient.LogRegVLEvaluateEncCostTagPart(rawPart, otherEncPart, trainSetThisRound, int(params.Accuracy), publicKey)
if err != nil {
return nil, nil, nil, nil, err
}
} else {
encCost, err = xchainCryptoClient.LogRegVLEvaluateEncCost(rawPart, otherEncPart, trainSetThisRound, int(params.Accuracy), publicKey)
if err != nil {
return nil, nil, nil, nil, err
}
}
encGradListBytes, err := vl_common.GradListToBytes(encGradList)
if err != nil {
return nil, nil, nil, nil, err
}
encCostBytes, err := vl_common.CostToBytes(encCost.EncCost)
if err != nil {
return nil, nil, nil, nil, err
}
costNoise := encCost.RandomNoise
return encGradListBytes, encCostBytes, gradientNoise, costNoise, nil
}
// DecGradientAndCost decrypt gradient list and cost for other part
// encGradsBytes and encCostBytes are ciphertext received from other party, encrypted by local homomorphic public key
// privateKey is local homomorphic private key, used to decrypt encGradsBytes and encCostBytes
func DecGradientAndCost(encGradsBytes []byte, encCostBytes []byte, privateKey *paillier.PrivateKey) ([]byte, []byte, error) {
encGrads, err := vl_common.GradListFromBytes(encGradsBytes)
if err != nil {
return nil, nil, err
}
var decGradList []map[int]*big.Int
for i := 0; i < len(encGrads); i++ {
grad := xchainCryptoClient.LogRegVLDecryptGradient(encGrads[i], privateKey)
decGradList = append(decGradList, grad)
}
encCost, err := vl_common.CostFromBytes(encCostBytes)
if err != nil {
return nil, nil, err
}
cost := xchainCryptoClient.LogRegVLDecryptCost(encCost, privateKey)
decGradBytes, err := vl_common.GradListToBytes(decGradList)
if err != nil {
return nil, nil, err
}
decCostBytes, err := vl_common.CostToBytes(cost)
if err != nil {
return nil, nil, err
}
return decGradBytes, decCostBytes, nil
}
// UpdateCost retrieve and update cost
// decCostBytes is decrypted cost received from other party, with costNoise
func UpdateCost(decCostBytes []byte, costNoise *big.Int, params pb_common.TrainParams) (float64, error) {
// retrieve real cost
costMap, err := vl_common.CostFromBytes(decCostBytes)
if err != nil {
return 0, err
}
realCost := xchainCryptoClient.LogRegVLRetrieveRealCost(costMap, int(params.Accuracy), costNoise)
cost := xchainCryptoClient.LogRegVLCalCost(realCost)
return cost, nil
}
// UpdateGradient retrieve and update thetas
// decGradBytes is decrypted gradient received from other party, with gradientNoise
func UpdateGradient(decGradBytes []byte, gradientNoise []*big.Int, thetas []float64, params pb_common.TrainParams) ([]float64, error) {
grads, err := vl_common.GradListFromBytes(decGradBytes)
if err != nil {
return nil, err
}
newThetas := make([]float64, len(thetas))
copy(newThetas[0:], thetas)
for i := 0; i < len(newThetas); i++ {
realGradient := xchainCryptoClient.LogRegVLRetrieveRealGradient(grads[i], int(params.Accuracy), gradientNoise[i])
// grad := xchainCryptoClient.LogRegVLCalGradient(realGradient)
grad := xchainCryptoClient.LogRegVLCalGradientWithReg(thetas, realGradient, i, int(params.RegMode), params.RegParam)
newThetas[i] = newThetas[i] - params.Alpha*grad
}
return newThetas, nil
}
// StopTraining determine if train process should be stopped
func StopTraining(lastCost, cost float64, params pb_common.TrainParams) bool {
return math.Abs(cost-lastCost) < params.Amplitude
}