Distributed logistic regression using expectation propagation. in matlab

The following Matlab project contains the source code and Matlab examples used for distributed logistic regression using expectation propagation.. We design a distributed logistic regression model using expectation propagation, where clients and server are connected through sockets.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
license.txt 1311
bpm_ep.m 722
classify_ep.m 291
train_linear.m 7363
train_linear_nsite.m 5169
connectToServer.m 1769
loadParameters.m 354
newJobListener.m 3971
newMSGListener.m 2846
CA19_125_Data.txt 2394
convertData.m 741
data1.mat 638
data2.mat 615
data3.mat 637
data4.mat 644
DemospliteData.m 647
edin.txt 26313
DemoClient.m 1097
DemoClient1.m 895
DemoClient2.m 880
DemoClient3.m 884
DemoClient4.m 883
DemoClientCloseServer.m 672
DemoServer.m 4439
EXPLORER_client.m 1304
msaccept.m 1138
msclose.m 744
msconnect.m 833
mslisten.m 832
msrecv.m 1209
msrecvraw.m 663
mssend.m 1034
mssendraw.m 884
compileit.m 744
compileit_windows.m 900
Makefile 892
matvar.cpp 12887
matvar.h 1394
msaccept.c 2061
msclose.c 665
msconnect.c 1773
mslisten.c 1703
msrecv.cpp 2526
msrecvraw.c 1835
mssend.cpp 1286
mssendraw.c 1467
closeRemoteSocket.m 300
closeServer.m 447
newClientListener.m 14437
newDataListener.m 15662
logdet.m 472
logsumexp.m 616
mvnormpdfln.m 1707
normcdfln.m 1138