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AF: Small: Foundational Research in Communication Complexity and Its Applications

AF: Small: Foundational Research in Communication Complexity and Its Applications
AF:小型:通信复杂性及其应用的基础研究
批准号:
1217375
负责人:
Amit Chakrabarti
金额:
$44.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2016-08-31

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中文摘要
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英文摘要
Communication complexity is the study of computational problems where the input is split amongst multiple locations, described as parties playing a communication game. These parties must communicate with one another according to a protocol to solve the problem of interest, while minimizing the amount of communication (number of bits exchanged). Besides its intrinsic motivation (enhanced by the coming "cloud computing" era), communication complexity derives its importance from its implications in all sorts of other areas of theoretical computer science, even ones that do not directly involve communication; examples are circuit complexity, data streaming, query complexity, property testing, and game theory.Under this award, the PI and his students will investigate a number of concrete communication games, attempting not just to establish new bounds on specific problems, but also to broaden the foundations of the field through new techniques and paradigms. Results and ideas thus discovered will be applied to some of the areas mentioned above, with a particular focus on data stream algorithms. Some representative research goals are as follows. (1) Developing the theory of Merlin-Arthur communication, with a view towards applications to data stream algorithms that interact with a powerful but untrusted helper. (2) Deepening our understanding of a number of graph streaming problems, either through new communication lower bounds or improved algorithms. (3) Relating the recent technique of information complexity to older established techniques for analyzing communication complexity.The broader imapcts of the award include the training of up to two graduate students who may work on any aspect of communication complexity or its applications, and the design and teaching of a new graduate-level course on communication protocols and complexity. Results obtained will be disseminated at international conferences, targeted workshops and seminars at other institutions.
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AF: CIF: Small: Communication complexity techniques beyond classical information theory
  • 批准号:
    2006589
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.76万
  • 财政年份:
    2020
  • 负责人:
    Amit Chakrabarti
  • 依托单位:
AF: Small: Collaborative Research: New Challenges in Graph Stream Algorithms and Related Communication Games
  • 批准号:
    1907738
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2019
  • 负责人:
    Amit Chakrabarti
  • 依托单位:
AF: EAGER: Data Streaming with a View towards Cloud Computing
  • 批准号:
    1650992
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2016
  • 负责人:
    Amit Chakrabarti
  • 依托单位:
DC: Small: Data Streaming through a Complexity-Theoretic Lens
  • 批准号:
    0916565
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.65万
  • 财政年份:
    2009
  • 负责人:
    Amit Chakrabarti
  • 依托单位:
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