1. Configure the threshold algorithm in SharedTrainingMaster:

TrainingMaster tm = new SharedTrainingMaster.Builder(voidConfiguration, minibatchSize)
   .thresholdAlgorithm(new AdaptiveThresholdAlgorithm(gradientThreshold))
  .build();

2. Configure the residual vectors by calling residualPostProcessor():

TrainingMaster tm = new SharedTrainingMaster.Builder(voidConfiguration, minibatch)
 .residualPostProcessor(new ResidualClippingPostProcessor(clipValue, frequency))
 .build();