Scalability and information personal privacy are vital for training and deploying large-scale deep learning models.Federated learning trains models on exclusive information by aggregating weights from various devices ...Scalability and information personal privacy are vital for training and deploying large-scale deep learning models.Federated learning trains models on exclusive information by aggregating weights from various devices and taking advantage of the device-agnostic environment of web browsers.Nevertheless,relying on a main central server for internet browser-based federated systems can prohibit scalability and interfere with the training process as a result of growing client numbers.Additionally,information relating to the training dataset can possibly be extracted from the distributed weights,potentially reducing the privacy of the local data used for training.In this research paper,we aim to investigate the challenges of scalability and data privacy to increase the efficiency of distributed training models.As a result,we propose a web-federated learning exchange(WebFLex)framework,which intends to improve the decentralization of the federated learning process.WebFLex is additionally developed to secure distributed and scalable federated learning systems that operate in web browsers across heterogeneous devices.Furthermore,WebFLex utilizes peer-to-peer interactions and secure weight exchanges utilizing browser-to-browser web real-time communication(WebRTC),efficiently preventing the need for a main central server.WebFLex has actually been measured in various setups using the MNIST dataset.Experimental results show WebFLex’s ability to improve the scalability of federated learning systems,allowing a smooth increase in the number of participating devices without central data aggregation.In addition,WebFLex can maintain a durable federated learning procedure even when faced with device disconnections and network variability.Additionally,it improves data privacy by utilizing artificial noise,which accomplishes an appropriate balance between accuracy and privacy preservation.展开更多
确保无线电波的质量和安全播出是广播电视行业的基本要求,依赖无线发射台站的高效管理。传统的基于客户端的台站管理系统因其高成本、低效率等缺点逐渐不能满足当前的需求。因此,提出基于WebGIS(Web Geographic Information System)的...确保无线电波的质量和安全播出是广播电视行业的基本要求,依赖无线发射台站的高效管理。传统的基于客户端的台站管理系统因其高成本、低效率等缺点逐渐不能满足当前的需求。因此,提出基于WebGIS(Web Geographic Information System)的广播电视无线发射台站管理系统,旨在提升广播电视无线发射台站的管理能力。首先阐述系统特点,其次设计系统的总体结构,分析系统的主要功能模块,最后研究各功能模块的实现。展开更多
一引言
90年代初,一种新型的计算机网络应用技术--电子数据交换EDI(Electronic Data Interchange)以其特有的简洁、高效、安全和迅捷特性引起世界各国的高度重视,被认为是提高工作效率、服务质量和企业竞争能力的强有力的手段[1].EDI旨...一引言
90年代初,一种新型的计算机网络应用技术--电子数据交换EDI(Electronic Data Interchange)以其特有的简洁、高效、安全和迅捷特性引起世界各国的高度重视,被认为是提高工作效率、服务质量和企业竞争能力的强有力的手段[1].EDI旨在实现表单传送的电子化,所以有人称EDI为无纸化贸易.使用电子表单的同时仍然需要纸张表单辅助,只是纸张表单从先前的主要或唯一的地位,下降到次要和辅助的地位.也就是说,EDI最重要的意义不在于节约纸张,而在于其快速、避免重复劳动、提高效率、节约成本等方面,因此EDI技术的实质是强调快速传输(比如从邮寄的几天变成几分钟甚至实时)、节约劳动(不必反复打印和录入表单),从而提高效率和节约成本.展开更多
A kind of Web voice browser based on improved synchronous linear predictive coding （ISLPC） and Text-toSpeech （TTS） algorithm and Internet application was proposed. The paper analyzes the features of TTS system wit...A kind of Web voice browser based on improved synchronous linear predictive coding （ISLPC） and Text-toSpeech （TTS） algorithm and Internet application was proposed. The paper analyzes the features of TTS system with ISLPC speech synthesis and discusses the design and implementation of ISLPC TTS-based Web voice browser. The browser integrates Web technology, Chinese information processing, artificial intelligence and the key technology of Chinese ISLPC speech synthesis. It＇s a visual and audible web browser that can improve information precision for network users. The evaluation results show that ISLPC-based TTS model has a better performance than other browsers in voice quality and capability of identifying Chinese characters.展开更多
计算机网络实验是计算机课程教学的必要环节,文章介绍了一种新型在线计算机网络仿真实验系统。该系统具有开源、免安装和易使用的特点,由基于超文本标记语言5(Hyper Text Markup Language 5,HTML5)、Javascript和层叠样式表(Cascading S...计算机网络实验是计算机课程教学的必要环节,文章介绍了一种新型在线计算机网络仿真实验系统。该系统具有开源、免安装和易使用的特点,由基于超文本标记语言5(Hyper Text Markup Language 5,HTML5)、Javascript和层叠样式表(Cascading Style Sheets,CSS)的网页Widget技术实现。用户可以在安装有浏览器的任意设备和操作系统上拖动计算机网络设备Widget组件搭建网络拓扑图,并按照从数据链路层到应用层的相关协议实时仿真。为方便教师远程考查和重现学生实验情况,本系统利用基于浏览器指纹特征的Fingerprint技术识别用户,减少了会话层对内存的消耗,使系统对计算机硬件的要求较低,具有较高的可移植性。展开更多
基金This work has been funded by King Saud University,Riyadh,Saudi Arabia,through Researchers Supporting Project Number(RSPD2024R857).
文摘Scalability and information personal privacy are vital for training and deploying large-scale deep learning models.Federated learning trains models on exclusive information by aggregating weights from various devices and taking advantage of the device-agnostic environment of web browsers.Nevertheless,relying on a main central server for internet browser-based federated systems can prohibit scalability and interfere with the training process as a result of growing client numbers.Additionally,information relating to the training dataset can possibly be extracted from the distributed weights,potentially reducing the privacy of the local data used for training.In this research paper,we aim to investigate the challenges of scalability and data privacy to increase the efficiency of distributed training models.As a result,we propose a web-federated learning exchange(WebFLex)framework,which intends to improve the decentralization of the federated learning process.WebFLex is additionally developed to secure distributed and scalable federated learning systems that operate in web browsers across heterogeneous devices.Furthermore,WebFLex utilizes peer-to-peer interactions and secure weight exchanges utilizing browser-to-browser web real-time communication(WebRTC),efficiently preventing the need for a main central server.WebFLex has actually been measured in various setups using the MNIST dataset.Experimental results show WebFLex’s ability to improve the scalability of federated learning systems,allowing a smooth increase in the number of participating devices without central data aggregation.In addition,WebFLex can maintain a durable federated learning procedure even when faced with device disconnections and network variability.Additionally,it improves data privacy by utilizing artificial noise,which accomplishes an appropriate balance between accuracy and privacy preservation.
文摘确保无线电波的质量和安全播出是广播电视行业的基本要求,依赖无线发射台站的高效管理。传统的基于客户端的台站管理系统因其高成本、低效率等缺点逐渐不能满足当前的需求。因此,提出基于WebGIS(Web Geographic Information System)的广播电视无线发射台站管理系统,旨在提升广播电视无线发射台站的管理能力。首先阐述系统特点,其次设计系统的总体结构,分析系统的主要功能模块,最后研究各功能模块的实现。
文摘一引言
90年代初,一种新型的计算机网络应用技术--电子数据交换EDI(Electronic Data Interchange)以其特有的简洁、高效、安全和迅捷特性引起世界各国的高度重视,被认为是提高工作效率、服务质量和企业竞争能力的强有力的手段[1].EDI旨在实现表单传送的电子化,所以有人称EDI为无纸化贸易.使用电子表单的同时仍然需要纸张表单辅助,只是纸张表单从先前的主要或唯一的地位,下降到次要和辅助的地位.也就是说,EDI最重要的意义不在于节约纸张,而在于其快速、避免重复劳动、提高效率、节约成本等方面,因此EDI技术的实质是强调快速传输(比如从邮寄的几天变成几分钟甚至实时)、节约劳动(不必反复打印和录入表单),从而提高效率和节约成本.
基金Supported by the National High-Technology Re-search and Development Program(2005AA122210) the National Out-standing Youth Foundation (60325104)
文摘A kind of Web voice browser based on improved synchronous linear predictive coding （ISLPC） and Text-toSpeech （TTS） algorithm and Internet application was proposed. The paper analyzes the features of TTS system with ISLPC speech synthesis and discusses the design and implementation of ISLPC TTS-based Web voice browser. The browser integrates Web technology, Chinese information processing, artificial intelligence and the key technology of Chinese ISLPC speech synthesis. It＇s a visual and audible web browser that can improve information precision for network users. The evaluation results show that ISLPC-based TTS model has a better performance than other browsers in voice quality and capability of identifying Chinese characters.
文摘计算机网络实验是计算机课程教学的必要环节,文章介绍了一种新型在线计算机网络仿真实验系统。该系统具有开源、免安装和易使用的特点,由基于超文本标记语言5(Hyper Text Markup Language 5,HTML5)、Javascript和层叠样式表(Cascading Style Sheets,CSS)的网页Widget技术实现。用户可以在安装有浏览器的任意设备和操作系统上拖动计算机网络设备Widget组件搭建网络拓扑图,并按照从数据链路层到应用层的相关协议实时仿真。为方便教师远程考查和重现学生实验情况,本系统利用基于浏览器指纹特征的Fingerprint技术识别用户,减少了会话层对内存的消耗,使系统对计算机硬件的要求较低,具有较高的可移植性。
