Research on Federated Learning Data Sharing Scheme Based on Differential Privacy

To realize data sharing,and to fully use the data value,breaking the data island between institutions to realize data collaboration has become a new sharing mode.This paper proposed a distributed data security sharing scheme based on C/S communication mode,and constructed a federated learning architecture that uses differential privacy technology to protect training parameters.Clients do not need to share local data,and they only need to upload the trained model parameters to achieve data sharing.In the process of training,a distributed parameter update mechanism is introduced.The server is mainly responsible for issuing training commands and parameters,and aggregating the local model parameters uploaded by the clients.The client mainly uses the stochastic gradient descent algorithm for gradient trimming,updates,and transmits the trained model parameters back to the server after differential processing.To test the performance of the scheme,in the application scenario where many medical institutions jointly train the disease detection system,the model is tested from multiple perspectives by taking medical data as an example.From the testing results,we can know that for this specific test dataset,when the parameters are properly configured,the lowest prediction accuracy rate is 90.261%and the highest accuracy rate is up to 94.352.It shows that the performance of the model is good.The results also show that this scheme realizes data sharing while protecting data privacy,completes accurate prediction of diseases,and has a good effect.

Privacy Preserved Brain Disorder Diagnosis Using Federated Learning

Federated learning has recently attracted significant attention as a cutting-edge technology that enables Artificial Intelligence(AI)algorithms to utilize global learning across the data of numerous individuals while safeguarding user data privacy.Recent advanced healthcare technologies have enabled the early diagnosis of various cognitive ailments like Parkinson’s.Adequate user data is frequently used to train machine learning models for healthcare systems to track the health status of patients.The healthcare industry faces two significant challenges:security and privacy issues and the personalization of cloud-trained AI models.This paper proposes a Deep Neural Network(DNN)based approach embedded in a federated learning framework to detect and diagnose brain disorders.We extracted the data from the database of Kay Elemetrics voice disordered and divided the data into two windows to create training models for two clients,each with different data.To lessen the over-fitting aspect,every client reviewed the outcomes in three rounds.The proposed model identifies brain disorders without jeopardizing privacy and security.The results reveal that the global model achieves an accuracy of 82.82%for detecting brain disorders while preserving privacy.

China Keen to Protect Women’s Rights, Interests——An interview with Zhao Shaohua, vice-chairwoman of the All-China Women’s Federation

EDITOR＇S NOTE： Slated for September 2008, the Tenth National Congress of the Chinese Women will review the achievements the country has made over the past five years in promoting women＇s rights and interests and formulate the targets for the protection endeavor over the next five years. The five years since the Ninth National Congress of the Chinese Women have witnessed a constant improvement in the status of the Chinese women and in their human rights conditions. Following is a transcript of an interview given our staff reporters by Zhao Shaohua, vice-chairperson of the All-China Women＇s Federation （ACWF） and member of the ACWF Secretariat, on how women＇s rights and interests are protected in China.

Broad-based Network for Protecting the Rights and Interests of Women and Children——A story about the Women's Federation of Qinhuangdao City

The room is in utter chaos, with chairs piling up in a comer and the cable TV not connected to the power source. But one thing is put in place： a slogan on the wall ＂Creating an outstanding WFQ team for the benefit of all women and children.＂

基层妇联组织在乡村治理中的主体性功能及实现路径

农村基层妇联组织不仅是党和政府联系妇女人群的桥梁和纽带,也是农村基层政权的社会支撑之一。在党建引领乡村治理的时代背景下,要站在治理的角度去审视基层妇联在乡村治理中的功能及其作用机制。从治理来看,基层妇联是政治组织和群众组织,也是治理组织和服务组织。基层妇联具有融入乡村治理全过程的政治需要和现实需要,在乡村治理中具有主体性功能。基层妇联在乡村治理中的主体性功能不仅是由妇联的政治性、先进性和群众性决定的,也是由党的帮手和助手功能决定的。基层妇联凭借其独特的政治、组织、动员、宣传和凝聚群众的优势,在乡村治理中可以发挥组织动员、服务群众、民情枢纽、协商议事等作用,提高乡村治理的组织化、社会化、服务化和共治化。通过组织体系“纵向到底”和“横向到边”以及成体系的体制机制创新实现基层妇联在乡村治理中的主体性建构,是妇联发挥基层治理功能的可行路径。

以妇女儿童为主体 发挥妇联网络优势开展HIV/AIDS预防教育与关怀活动

以妇女儿童为主体,发挥妇联网络优势,与联合国儿基会合作通过层层培训及大众传媒,深入开展了艾滋病预防知识宣传培训的社会动员工作,包括培养骨干,将宣传材料翻译成11种少数民族文字,利用各种途径传播相关知识,开展针对辍学女童等不同人群为目标人群的HIV/AIDS预防教育培训。通过以上措施,提高了广大妇女儿童有关预防和控制HIV/AIDS知识。

PRIMARY ANALYSIS ON WOMEN'S STATUS OF RENHE TOWN, BAIYUN DISTRICT, GUANGZHOU

There are more women than men in Renhe Town, about 40% of women have jobs. Young women under 30 years old are mainly industrial workers.The average years of education for all women over 6 years old are 6.03, but for man they are 7. 64. The Women's Federation of Renhe Town is a vital organization.What it has done plays an active role in raising women/s social status and encouraging women to take part in the community life. In the past, women mainly participated in different collective agricultural labour assigned by their carders.Women had not much chance to show their intelligence and wisdom. Since the policy of 'reform and open door to the outside world' was carried out women have had more and more chance to bring their abilities into full play and many women become capable Persons of different trades and professions. Now, in Renhe, women are the main force of factories and dispensable part of all kinds of production work done in units of families.

一种基于B/S计算模型的Internet-FDBS联邦数据库系统的集成方法

本文旨在介绍一种基于B/S计算模型的Internet-FDBS联邦数据库系统的集成方法,对Internet-FDBS的模式结构和基于B/S计算模型的Internet-FDBS联邦数据库系统及Internet-FDBS的联邦查询处理作了深入的阐述。

Korea's Textile and Clothing Industry still Sees China as a Major Trading Partner

On June 2-3,International Textile and Clothing Bureau held its inaugural meeting for Private Sector Consultative Committee(PICC)in Geneva on June 2-3 to discuss the issues of common concerns and impacts that challenged textile and clothing sectors against global economic recession.

Age-of-Information-Aware Federated Learning

Federated learning(FL)is an emerging privacy-preserving distributed computing paradigm,enabling numerous clients to collaboratively train machine learning models without the necessity of transmitting clients’private datasets to the central server.Unlike most existing research where the local datasets of clients are assumed to be unchanged over time throughout the whole FL process,our study addresses such scenarios in this paper where clients’datasets need to be updated periodically,and the server can incentivize clients to employ as fresh as possible datasets for local model training.Our primary objective is to design a client selection strategy to minimize the loss of the global model for FL loss within a constrained budget.To this end,we introduce the concept of“Age of Information”(AoI)to quantitatively assess the freshness of local datasets and conduct a theoretical analysis of the convergence bound in our AoI-aware FL system.Based on the convergence bound,we further formulate our problem as a restless multi-armed bandit(RMAB)problem.Next,we relax the RMAB problem and apply the Lagrangian Dual approach to decouple it into multiple subproblems.Finally,we propose a Whittle’s Index Based Client Selection(WICS)algorithm to determine the set of selected clients.In addition,comprehensive simulations substantiate that the proposed algorithm can effectively reduce training loss and enhance the learning accuracy compared with some state-of-the-art methods.

陕甘宁边区各界妇女联合会的妇女动员工作与成效

全面抗战爆发后,为团结广大妇女的力量,陕甘宁边区改组妇女代表大会为各界妇女联合会,开展抗战动员工作。边区妇联通过开展纪念大会、发表告妇女同胞书,利用歌谣、墙报、传单和庙会等方式多层次宣传抗日。边区妇联积极扩张组织基础、提高妇女教育水准并着力改善妇女生活。在边区妇联的动员下,边区妇女踊跃加入妇联,积极组织自卫军、劝夫送子入伍、动员离队士兵归队以及慰劳支援前线,为抗战胜利做出了巨大贡献。边区妇联的动员工作为其他地区的妇女工作提供了经验借鉴。

美联储联邦基金利率调整对美国股票市场的影响——基于2012年至2022年美联储及美国股票市场的证据

美联储对联邦基金利率进行调整是一种传统的货币政策工具,已有的研究聚焦在短期内联邦基金利率的变动对美国股票市场的影响。伴随着美联储调息的经济背景和原因的综合化,美联储调息对于美国股票市场的影响表现得更加复杂。本文在已有研究的基础上,使用VAR模型,进一步探究不同滞后期数的联邦基金利率的月变化值对于美国股票市场月波动值的影响。研究发现,不同滞后期数的联邦基金利率的月变化值,会对美国股票市场月波动值带来负向影响,且美国股票市场的月波动值会对自身的未来期数的月波动值产生正向冲击。本文结论表明,在以月份为观察周期的情况下,联邦基金利率的变化值增加,会使美国股票市场的波动值下降,联邦基金利率的变化值减少,会使美国股票市场的波动值上升,二者呈反向变动趋势。

SELECTED BIBLIOGRAPHY ON CANCER PAIN PREPARED FOR THE FEDERATION OF STATE MEDICAL BOARDS OF THE U.S.

I The Cancer Pain Problem:(1) Cleeland CS. Darriers to the management of cancer pain. Oncology 1987, April(Special Suppl. ) : 19--26.(2) Morgan JP, Pleet DL. Opiophobia in the United States : the undertreatment of severepain. In: Morgan JP, Kagan DV, eds. Society and Medication: Conflicting Signals forPrescribers and Patients. Levington, MA : Lexington Press, 1983: 313--326.

Facing Unemployment (2)——Efforts of Women's Federations

ZHANG Xiuwen lost her job in March 1993 when the Tianjin Photographic Materials Chemical Factory closed due to the intense competition in the emerging market economy. Zhang, who had worked for more than 10 years, panicked when forced to enter the ranks of Tianjin’s 260,000 laid-off workers. While Zhang continued to receive a living allowance from the factory, she was supporting a son in high school, and found it difficult to make ends meet. She resorted to selling

Beijing, Hebei and Gansu Women's Federations Greet FWCW

IN Semptember 1995 the Fourth World Conference on Women will be held in Beijing. Chinese women regard it as the biggest event to occur in their country. Preparations have already begun to welcome 20,000 sisters from the five continents of the world. Beijing After the Chinese government formed the China Organizing Committee for the Fourth World Conference on Women, the All-China Women’s Federation organized the NGO Forum Committee. In July 1994 the ACWF

Chen Muhua—president of the All-China Women's Federation

Chen Muhua, 72, is Vice-Chairman of the Standing Committee of the Seventh and Eighth National People’s Congress and Honorary Chairman of the Board of the Bank of China. Chen Muhua was elected president of the All-China Women’s Federation (ACWF) at the Sixth National Women’s Congress. Warmly supported by masses

All-China Women's Federation Works to Eliminate Women's Poverty

IN April of 1994, the All-China Women’s Federation (ACWF) sent 15 cadres to poor areas in Guizhou, Yunnan and Gansu provinces, and Guangxi Zhuang and Ningxia Hui Autonomous Regions to make on-the-spot investigations. They visited 105 rural households in 30 villages of 11 counties. They found that over 80 percent of the rural households in

妇联在政府职能转变中的作用研究

政府职能转变势在必行。妇联作为党和政府联系妇女群众的桥梁和纽带,在公共管理和公共服务领域发挥作用并承担相应的职能,这不仅是加强政府执政能力建设的需要,也是妇联发挥党和政府联系妇女群众桥梁和纽带作用的具体体现,更是新时期妇女运动和妇女发展的必然要求。

基于多层联合的未来网络服务质量评估方法

针对未来网络应用多样性和复杂性,借鉴已有传输层和网络层服务质量指标,提出一种未来网络服务质量评估方法,建立了多层联合的评估体系,并通过改进的层次分析法对该体系层内服务质量进行评估,进而利用D-S证据理论对评估体系进行约减。最后,通过实验验证了该评估方法的有效性和可行性。

奥巴马内阁、党派性与中美贸易发展走势

当前,美国贸易政策的制定过程中充斥着浓厚的党派性色彩,两党对待贸易议题的态度针锋相对,这使得美国贸易自由化的进程严重受阻。刚刚宣誓就职的民主党总统立足未稳,党派纷争愈演愈烈,金融危机又对美国经济造成了巨大的冲击,在此背景下,自由贸易更是受到了前所未有的挑战。在未来,中美双方只有通过友好的对话来解决双边贸易中存在的问题,积极诚恳地审视自身经济政策的缺陷,双边贸易才能走上健康发展之路,为两国经济发展做出应有的贡献。