Big data computation - PowerPoint PPT Presentation

This course at National Taipei University delves into fundamental concepts, research issues, and practical applications of Big Data Analysis. Taught by Dr. Min-Yuh Day, the syllabus covers topics such as AI, machine learning, deep learning, and industry practices related to big data analysis. Studen

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Over the past two decades, there has been a significant proliferation of big data, leading to the emergence of new challenges and opportunities in economic policy formulation. The use of big data, with its three defining characteristics (volume, velocity, and variety), poses questions about the futu

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Explore the improved black-box constructions of composable secure computation, focusing on definitions, objectives, and the formalization basics of multiparty computation (MPC). Learn about the motivating security aspects in MPC and the real/ideal paradigm. Discover how MPC security involves compari

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Explore the automation of efficient RAM-model secure computation techniques, including examples such as secure binary search. Discover how traditional solutions using circuit abstractions can be improved for sub-linear time computation through methods like Oblivious RAM. Learn about techniques such

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This report discusses the use of Secure Multiparty Computation (SMC) to enable sharing of sensitive Department of Education data across organizational boundaries. The application of SMC allows for joint computation while keeping individual data encrypted, ensuring privacy and security within the Nat

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Delve into the realm of secure multiparty computation under 1-bit leakage, exploring the intersection of DP algorithms, MPC, and the utilization of leakage for enhanced performance. Discover the overhead implications of achieving active security, as well as the evolution of secure computation protoc

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The research paper discusses COMET, a system for transparently offloading computation from mobile devices to network resources to improve performance. It outlines the goals of COMET, its design, and evaluation, focusing on distributed shared memory and bridging computation disparity through offloadi

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Exploring actively secure arithmetic computation and VOLE with constant computational overhead at Tel Aviv University. Understanding how functions are represented in secure computation using arithmetic circuits over boolean circuits. Efficiently evaluating arithmetic circuits over large finite field

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Explore the realm of efficient random access in multi-party computation through the reevaluation of classic schemes and the introduction of new approaches. Discover the potential of ORAM in improving performance and reducing costs in various computational tasks, such as secure multi-party computatio

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Explore the intersection of big data and privacy through the insights of Bart van der Sloot. Delve into current privacy issues, the application of big data, legal frameworks, recent developments, and the challenges between big data and privacy protection. Gain knowledge from interactive debates, stu

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This research project led by Prof. Kazuo Ishii aims to develop a Big Data mining method and optimized algorithms for genomic Big Data, specifically targeting three major mental disorders including depression. The research process involves data analytics, mathematical modeling, and data processing te

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Welcome to Secure Computation Lecture 1 by Arpita Patra. The course covers evaluation policies, projects, and references in the realm of secure computation. The content delves into the significance of information security across various sectors, emphasizing the importance of safeguarding sensitive d

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The world has evolved into a data-centric landscape where managing massive amounts of data requires the convergence of big data, big knowledge, and big crowd technologies. This transformation necessitates the utilization of domain knowledge, building knowledge bases, and integrating human input thro

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In today's lecture of "Foundations of Cryptography," the focus is on secure two-party and multi-party computation, emphasizing semi-honest security where Alice and Bob must compute without revealing more than necessary. Concepts such as real-world vs. ideal-world scenarios, the existence of PPT simu

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The research focuses on achieving perfectly secure multiparty computation (MPC) with linear communication and constant expected time. It explores efficient approaches using a broadcast-hybrid model and P2P communication, aiming to balance speed and efficiency in MPC. The study highlights the importa

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Big data presents both risks and opportunities for development initiatives, with the potential to enhance policy-making processes. While big data can improve the efficiency of public policy and administration, concerns arise regarding data accuracy, inclusivity, and transparency. Upholding privacy p

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Big data involves analyzing and extracting information from large and complex datasets that traditional software cannot handle. AI algorithms play a crucial role in processing big data to find patterns that humans may overlook. Ethical considerations arise in defining what is "interesting" in the da

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Exploring the intersection of secure computation and data mining, this content uncovers key challenges such as improving algorithms, converting programs for secure computation, and addressing parallelizability issues. It highlights the importance of cryptography in ensuring data privacy and presents

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Covert computation aims to conceal the fact that computation is occurring and hide engagement in certain tasks like secure computation, authenticated key exchange, and more. By making messages indistinguishable and utilizing steganographic channels, it becomes possible to keep the activities covert

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Exploring fundamental challenges in computation within the big data era, this content delves into the complexities of handling social media data, emphasizing the importance of scalability, data relevancy, quality assurance, and data integration. Presented during a panel discussion at Arizona State U

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Fides presents a system for verifiable computation using smart contracts, focusing on blockchain basics, Ethereum, smart contracts, and outsourcing computation. It explores key components of blockchain, Ethereum's decentralized computing platform, properties of smart contracts, and the concept of ve

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Big data refers to vast and complex data sets difficult to process with traditional tools. Cloud computing tools like Hadoop and Spark enable the handling of big data. Types of big data include structured, unstructured, and semi-structured data. The evolution of technology, IoT devices, social media

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The EAA 2016 Symposium focused on the impact of big data in accounting and auditing, featuring presentations on using data analytics to enhance audit quality, the influence of big data on management accounting research and the accounting profession. Speakers highlighted the importance of dealing wit

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Mega-Modeling is a comprehensive approach that encompasses model construction, evaluation, composition, evolution, and search to address challenges in various areas such as social and economic resilience, health, transportation, and energy management. The pillars of Mega-Modeling include Model-Drive

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Discussing the regulatory perspective on commercial versus humanitarian and development applications of big data, this conversation with regulators highlights the differences and similarities in utilizing data for various sectors. Emphasizing the importance of trust, confidentiality, and data securi

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Catalytic computation, space hierarchy theorem, and reversible computation are explored in collaboration with researchers from Charles University. The interplay between work space, auxiliary tapes, and catalyst space is investigated to understand the power and limitations of different computational

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State-of-the-art cloud computing tools like Hadoop and MapReduce are highlighted, along with an explanation of big data and its different types such as structured, unstructured, and semi-structured data. The importance of big data in today's technology-driven world is discussed, showcasing the evolu

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In this informative content, Bart van der Sloot, a Senior Researcher at Tilburg Institute for Law, Technology, and Society, delves into the world of Big Data. The overview covers key sources on what Big Data is, how it can be applied for Digital Justice, and the potential risks and benefits involved

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This content delves into the realm of Secure Multi-Party Computation (SMPC), exploring its practical applications, challenges, and the evolving landscape of modern cryptography. It discusses the apparent paradox of encrypted data safety and usability and touches on topics like Privacy-Preserving Pro

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Delve into the world of big data analytics with parallel jobs at the University of California at Berkeley. Explore the rising philosophy of data-ism, massive parallelization, computation frameworks, efficient job execution, and challenges in scaling data size and parallelism. Discover the impact of

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This content delves into emerging applications and platforms related to big data, covering topics such as the challenges of big data computing, problem-solving approaches, data deluge from IoT devices, and the intelligence and scale of data. It discusses the characteristics of intelligent applicatio

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This content explores iThreads, a threading library designed for efficient execution of applications in successive runs with small input changes. They aim for transparency, practicality, and efficiency in parallel incremental computation, targeting unmodified pthreads-based programs while supporting

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This lecture highlights the significance of big data processing in the era of cloud computing, emphasizing datafication and the challenges presented by large data volumes. It discusses various big data sources, contrasts big and small data, and delves into the three Vs of big data: Volume, Velocity,

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Big data processing in cloud computing involves handling large volumes of diverse data quickly and accurately. The lecture covers topics like computing with big data, datafication trends, data volume management, sources of big data, and the characteristics of big versus small data. Understanding the

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The RDA Plenary 5 Session held in San Diego, California, in March 2015, showcased advancements in Big Data analytics. The agenda included discussions on smart data analytics, use cases in various domains, issues in data curation, and the evolving landscape of Big Data. Presentations highlighted topi

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Explore the world of Big Data Analytics, its significance in information management, specialized architectures like Hadoop, sources of Big Data such as social networking and sensors, challenges in dealing with Big Data, and strategies to handle data growth effectively. Learn about capturing, storing

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Explore the concept of multiparty computation with low communication and computation complexity through threshold fully homomorphic encryption. Advantages include reduced round complexity, low communication requirements, and independence of specific functions and inputs. Discover how this approach c

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Explore Sabre anonymous messaging and secure multiparty computation protocols for enhanced data privacy and security. Learn about additive secret sharing techniques for secure data transfer and computation.

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Explore the efficient algorithm for synthesizing quantum circuits and optimizing quantum computation. Delve into essential functions, sorting, and experimental results in quantum computation. Discover the advancements in quantum computation led by IBM, Google, and Lockheed Martin. Learn about the fu

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Explore the concept of Multiparty Computation with low communication complexity and independent computation, featuring Threshold Fully Homomorphic Encryption. Learn about advantages such as low round complexity and communication complexity, as well as the implementation of Threshold Key Generation,

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