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Phillip B. Gibbons

1986–2026 年に発表

248
論文数
26,724
被引用数
73
h 指数
172
i10 指数

被引用数

Phillip B. Gibbons の年別被引用数1969 年: 被引用 1 件1983 年: 被引用 1 件1986 年: 被引用 1 件1987 年: 被引用 2 件1988 年: 被引用 13 件1989 年: 被引用 10 件1990 年: 被引用 26 件1991 年: 被引用 57 件1992 年: 被引用 68 件1993 年: 被引用 80 件1994 年: 被引用 97 件1995 年: 被引用 95 件1996 年: 被引用 113 件1997 年: 被引用 126 件1998 年: 被引用 121 件1999 年: 被引用 163 件2000 年: 被引用 114 件2001 年: 被引用 146 件2002 年: 被引用 171 件2003 年: 被引用 242 件2004 年: 被引用 277 件2005 年: 被引用 309 件2006 年: 被引用 348 件2007 年: 被引用 405 件2008 年: 被引用 395 件2009 年: 被引用 451 件2010 年: 被引用 459 件2011 年: 被引用 493 件2012 年: 被引用 479 件2013 年: 被引用 499 件2014 年: 被引用 489 件2015 年: 被引用 626 件2016 年: 被引用 667 件2017 年: 被引用 666 件2018 年: 被引用 743 件2019 年: 被引用 907 件2020 年: 被引用 1,313 件2021 年: 被引用 1,593 件2022 年: 被引用 1,278 件2023 年: 被引用 1,337 件2024 年: 被引用 1,454 件2025 年: 被引用 1,481 件2026 年: 被引用 537 件1970〜1982 年は被引用が無いため表示していません1984〜1985 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 5,868 件、この内訳の 30.8%中国: 引用元論文 3,311 件、この内訳の 17.3%イギリス: 引用元論文 843 件、この内訳の 4.4%ドイツ: 引用元論文 723 件、この内訳の 3.8%カナダ: 引用元論文 702 件、この内訳の 3.7%韓国: 引用元論文 572 件、この内訳の 3%香港: 引用元論文 530 件、この内訳の 2.8%オーストラリア: 引用元論文 465 件、この内訳の 2.4%インド: 引用元論文 462 件、この内訳の 2.4%イタリア: 引用元論文 455 件、この内訳の 2.4%フランス: 引用元論文 441 件、この内訳の 2.3%スイス: 引用元論文 431 件、この内訳の 2.3%
0%30.8%その他 22.4%

機関

分野

  • Computer Science87%
  • Engineering5.9%
  • Physics and Astronomy1.5%
  • Social Sciences1%
  • Decision Sciences0.9%
  • Medicine0.7%
  • その他3%

トピック

  • Privacy-Preserving Technologies in Data8.3%
  • Parallel Computing and Optimization Techniques6.8%
  • Advanced Data Storage Technologies4.1%
  • Stochastic Gradient Optimization Techniques3.4%
  • Data Management and Algorithms2.8%
  • Distributed systems and fault tolerance2.8%
  • その他71.8%

共著者

全論文

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  1. Advances and Open Problems in Federated Learning

    著者: Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao - Foundations and Trends® in Machine Learning, Found. Trends Mach. Learn. 2020 被引用: 4,744

  2. PipeDream: generalized pipeline parallelism for DNN training

    著者: Deepak Narayanan, Aaron Harlap, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons, Matei Zaharia - Symposium on Operating Systems Principles, SOSP 2019 被引用: 752

  3. Advances and Open Problems in Federated Learning

    著者: Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao - CoRR 2019 被引用: 1,103

  4. Ambit: in-memory accelerator for bulk bitwise operations using commodity DRAM technology

    著者: Vivek Seshadri, Donghyuk Lee, Thomas Mullins, Hasan Hassan, Amirali Boroumand, Jeremie Kim, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry - IEEE/ACM International Symposium on Microarchitecture 2017 被引用: 428

  5. RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization

    著者: Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry - IEEE/ACM International Symposium on Microarchitecture 2013 被引用: 328

  6. PipeDream: Fast and Efficient Pipeline Parallel DNN Training

    著者: Aaron Harlap, Deepak Narayanan, Amar Phanishayee, Vivek Seshadri, Nikhil R. Devanur, Gregory R. Ganger, Phillip B. Gibbons - arXiv (Cornell University), CoRR 2018 被引用: 181

  7. RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage

    著者: Peter Yong Zhong, Siyuan Chen, Ruiqi Wang, McKenna McCall, Ben L. Titzer, Heather Miller, Phillip B. Gibbons - ArXiv.org, CoRR 2025 被引用: 45

  8. LOCI: Fast Outlier Detection Using the Local Correlation Integral

    著者: Spiros Papadimitriou, Hiroyuki Kitagawa, Phillip B. Gibbons, Christos Faloutsos - Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405), ICDE 2003 被引用: 851

  9. Base-delta-immediate compression: practical data compression for on-chip caches

    著者: Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry - conference on Parallel architectures and compilation techniques, PACT 2012 被引用: 357

  10. Testing Shared Memories

    著者: Phillip B. Gibbons, Ephraim Korach - SIAM Journal on Computing, SIAM J. Comput. 1997 被引用: 179

  11. Addressing the straggler problem for iterative convergent parallel ML

    著者: Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing - Seventh ACM Symposium on Cloud Computing, SoCC 2016 被引用: 131

  12. The Non-IID Data Quagmire of Decentralized Machine Learning

    著者: Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons - ICML 2020 被引用: 692

  13. GeePS: scalable deep learning on distributed GPUs with a GPU-specialized parameter server

    著者: Henggang Cui, Hao Zhang, Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing - Eleventh European Conference on Computer Systems, EuroSys 2016 被引用: 304

  14. PIM-trie: A Skew-resistant Trie for Processing-in-Memory

    著者: Hongbo Kang, Yiwei Zhao, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey, Phillip B. Gibbons - Symposium on Parallelism in Algorithms and Architectures, SPAA 2023 被引用: 22

  15. Gather-scatter DRAM: in-DRAM address translation to improve the spatial locality of non-unit strided accesses

    著者: Vivek Seshadri, Thomas Mullins, Amirali Boroumand, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry - Symposium on Microarchitecture 2015 被引用: 140

  16. More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server

    著者: Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Garth A. Gibson, Gregory R. Ganger, Eric P. Xing - NIPS 2013 被引用: 814

  17. Linearly compressed pages: a low-complexity, low-latency main memory compression framework

    著者: Gennady Pekhimenko, Vivek Seshadri, Yoongu Kim, Hongyi Xin, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry - IEEE/ACM International Symposium on Microarchitecture 2013 被引用: 139

  18. Buddy-RAM: Improving the Performance and Efficiency of Bulk Bitwise Operations Using DRAM

    著者: Vivek Seshadri, Donghyuk Lee, Thomas Mullins, Hasan Hassan, Amirali Boroumand, Jeremie S. Kim, Michael A. Kozuch, Onur Mutlu, Phillip B. Gibbons, Todd C. Mowry - arXiv (Cornell University), CoRR 2016 被引用: 67

  19. RACOD: algorithm/hardware co-design for mobile robot path planning

    著者: Mohammad Bakhshalipour, Seyed Borna Ehsani, Mohamad Qadri, Dominic Guri, Maxim Likhachev, Phillip B. Gibbons - Symposium on Computer Architecture, ISCA 2022 被引用: 19

  20. The Processing-in-Memory Model

    著者: Hongbo Kang, Phillip B. Gibbons, Guy E. Blelloch, Laxman Dhulipala, Yan Gu, Charles McGuffey - Symposium on Parallelism in Algorithms and Architectures, SPAA 2021 被引用: 17

  21. RowClone: Accelerating Data Movement and Initialization Using DRAM

    著者: Vivek Seshadri, Yoongu Kim, Chris Fallin, Donghyuk Lee, Rachata Ausavarungnirun, Gennady Pekhimenko, Yixin Luo, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry - arXiv (Cornell University), CoRR 2018 被引用: 26

  22. RTRBench: A Benchmark Suite for Real-Time Robotics

    著者: Mohammad Bakhshalipour, Maxim Likhachev, Phillip B. Gibbons - IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) 2022 被引用: 14

  23. Tracking Join and Self-Join Sizes in Limited Storage

    著者: Noga Alon, Phillip B. Gibbons, Yossi Matias, Mario Szegedy - Journal of Computer and System Sciences, J. Comput. Syst. Sci. 1999 被引用: 212

  24. Federated Learning under Distributed Concept Drift

    著者: Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons - AISTATS 2023 被引用: 97