ID	原文	译文
3103	在近邻矩阵基础上，利用数据集的类别标签信息，构建有监督判别矩阵，变无监督流形学习为有监督学习，寻找一个同时具有最大全局散度矩阵和最小局部散度矩阵的低维投影子空间，保证了降维投影后同类数据聚集而异类数据分散的特性。	On the basis of the nearest neighbor matrix, the label information of the raw data category was exploited to construct a supervised discriminant matrix in order to translate unsupervised pop- ular learning into supervised learning. The target was to find a low dimensional projective space with both maximum global divergence matrix and minimum local divergence matrix, ensuring that the same kind of data was concentrated and heterogeneous data was scattered after dimensionality reduction projection.
3104	实验结果显示，与传统降维算法相比，所提算法可以较低的时间复杂度去除冗余数据，并且降维后的数据聚类效果更好，异类样本更分散，适用于实际的网络安全数据分析模型。	The experimental results show that the SDP algorithm, compared with the traditional dimensionality reduction algorithms, can effectively remove redundant data with low time complexity. Meanwhile the data after dimensionality reduction is more concentrated, and the heterogeneous samples are more dispersed, suitable for the actual network security data analysis model.
3105	针对具有反馈时延的单小区多用户 MIMO 蜂窝干扰网络，采用时延度（DoD）来量化干扰对齐方案引起的信息时延，提出一种基于偏袒干扰消除的回溯干扰对齐（PIE-RIA）方案。	For interference networks, the degree of delay (DoD) was proposed to quantify the information delay among traditional interference alignment (IA) schemes. It indicated that networks suffer from the issue of latency caused by IA schemes. Herein, for the MIMO downlink broadcast channel (BC), the partial interference elimination based retrospective interference alignment scheme (PIE-RIA) was put forward.
3106	该方案首先在中继处获取干扰符号并设计预编码矩阵，然后中继发送已编码的干扰符号至用户执行干扰消除，最后基站利用反馈的干扰信号与 CSI 实现多个用户的回溯干扰对齐。	In the scheme, relay technique was adopted to eliminate par- tial interference signals so that part of desired symbols could be decoded promptly in user sides. Meanwhile, in the last slot, the eliminated signals could be regenerated in base station side with the retrospective interference alignment (RIA) scheme .
3107	仿真结果表明，PIE-RIA 方案在保留自由度（DoF）增益的同时降低了 DoD，保证了时延敏感网络中信息传输的实时性。	The simulation results show that PIE-RIA scheme maintains degree of freedom (DoF) gain of RIA scheme and in the meantime, achieves lower DoD than the other schemes.
3108	为了解决差分隐私下多重一致性约束的最优发布问题，通过分析最优一致性发布原理提出了多重一致性约束问题的逼近方法。	Under differential privacy, to solve the optimal publishing problem with multiple consistency constraints, an approximation method of multiple consistency constraints was proposed by the theoretical analysis of the principle of op- timal consistency release.
3109	所提方法的主要思想是将一致性约束问题划分为多个一致性约束子问题，通过反复独立地求解各一致性约束子问题实现原问题的最优一致性发布。	The main idea was to divide the consistency constraint problem into several consistency con- straint sub-problems and then achieve the original problem's optimal consistency release by solving each consistency constraint sub-problem repeatedly and independently.
3110	其优势在于一致性约束问题划分之后，子问题往往更容易求解或者实现子问题最优一致性发布的技术已相当成熟，从而能够解决更加复杂的差分隐私最优发布问题。	The advantage was that after the consistency constraint problem divided, the sub-problems were often easier to solve, or the technology to achieve optimal and consistent release of sub-problems is quite mature. Therefore more complex differential privacy optimal release problem could be solved.
3111	分析论证了逼近方法的收敛性，保证任意一致性约束子问题的划分均能实现原问题的最优一致性发布。	Af- ter analysis, the approximation method's convergence was fully demonstrated, ensuring that any partition of consistency constrained sub-problems can always achieve the optimal consistency release of the original problem.
3112	并且，以销量直方图发布为例，基于多重一致性约束问题的逼近方法设计了差分隐私餐馆销量直方图一致性并行发布算法。	Furthermore, tak- ing the sales histogram publishing as an example, based on the approximation method of multiple consistency constraints, a parallel algorithm was designed with optimal consistency release under differential privacy.