2026 Phillip B. Gibbons: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	91	578	561	307	297	293	36974

Research.com Recognitions

2019 - ACM Paris Kanellakis Theory and Practice Award For seminal work on the foundations of streaming algorithms and their application to large scale data analytics.
2014 - IEEE Fellow For contributions to parallel computing and databases
2006 - ACM Fellow For contributions to parallel computing, databases, and sensor networks.

Overview

Phillip B. Gibbons is affiliated with Carnegie Mellon University in the United States and has made contributions primarily in the field of Computer Science, with a significant focus on its various subfields, including Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

Their research covers main topics such as Parallel Computing and Optimization Techniques, Advanced Data Storage Technologies, Advanced Neural Network Applications, Advanced Memory and Neural Computing, Robotics and Sensor-Based Localization, Caching and Content Delivery, and Distributed Systems and Fault Tolerance.

Phillip B. Gibbons has authored numerous papers published in prominent venues. Selected recent works include:

"Advances and Open Problems in Federated Learning" (2020, Foundations and Trends® in Machine Learning)
"PIM-Tree" (2022, Proceedings of the VLDB Endowment)
"Sage" (2020, Proceedings of the VLDB Endowment)
"Federated Learning under Distributed Concept Drift" (2022, arXiv (Cornell University))
"Cortex: A Compiler for Recursive Deep Learning Models" (2020, arXiv (Cornell University))

The frequent co-authors collaborating with Phillip B. Gibbons include Charles McGuffey, Guy E. Blelloch, Laxman Dhulipala, Pratik Fegade, and Tianqi Chen.

The scientist's publications are most often found in the following venues:

arXiv (Cornell University)
Proceedings of the VLDB Endowment
Zenodo (CERN European Organization for Nuclear Research)
Foundations and Trends® in Machine Learning
Proceedings of the ACM on Measurement and Analysis of Computing Systems

Phillip B. Gibbons has received several awards recognizing specific contributions to their fields. These include the ACM Paris Kanellakis Theory and Practice Award in 2019 for foundational work in streaming algorithms applied to large-scale data analytics, being named an IEEE Fellow in 2014 for contributions to parallel computing and databases, and the ACM Fellow distinction in 2006 for contributions spanning parallel computing, databases, and sensor networks.

Best Publications

Advances and Open Problems in Federated Learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

4595
Citations
Memory consistency and event ordering in scalable shared-memory multiprocessors

Kourosh Gharachorloo;Daniel Lenoski;James Laudon;Phillip Gibbons

1783
Citations
LOCI: fast outlier detection using the local correlation integral

S. Papadimitriou;H. Kitagawa;P.B. Gibbons;C. Faloutsos

1273
Citations
Advances and open problems in federated learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

1189
Citations
SybilGuard: defending against sybil attacks via social networks

Haifeng Yu;Michael Kaminsky;Phillip B. Gibbons;Abraham Flaxman

1161
Citations
Method for reading server site anonymously

Eran Gabber;Phillip B Gibbons;Yossi Matias;Alain J Mayer

994
Citations
SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks

Haifeng Yu;P.B. Gibbons;M. Kaminsky;Feng Xiao

983
Citations
Synopsis diffusion for robust aggregation in sensor networks

Suman Nath;Phillip B. Gibbons;Srinivasan Seshan;Zachary Anderson

862
Citations
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server

Qirong Ho;James Cipar;Henggang Cui;Seunghak Lee

767
Citations
PipeDream: generalized pipeline parallelism for DNN training

Deepak Narayanan;Aaron Harlap;Amar Phanishayee;Vivek Seshadri

696
Citations
IrisNet: an architecture for a worldwide sensor Web

P.B. Gibbons;B. Karp;Y. Ke;S. Nath

664
Citations
Synopsis diffusion for robust aggregation in sensor networks

Suman Nath;Phillip B. Gibbons;Srinivasan Seshan;Zachary R. Anderson

655
Citations
New sampling-based summary statistics for improving approximate query answers

Phillip B. Gibbons;Yossi Matias

624
Citations
Fast incremental maintenance of approximate histograms

Phillip B. Gibbons;Yossi Matias;Viswanath Poosala

509
Citations
Join synopses for approximate query answering

Swarup Acharya;Phillip B. Gibbons;Viswanath Poosala;Sridhar Ramaswamy

482
Citations
Ambit: in-memory accelerator for bulk bitwise operations using commodity DRAM technology

Vivek Seshadri;Donghyuk Lee;Thomas Mullins;Hasan Hassan

458
Citations
System for scheduling and controlling distribution of advertisement over communication network

Micah A Adler;Phillip B Gibbons;Yossi Matias;ビー．ギボンズフィリップ

455
Citations
Base-delta-immediate compression: practical data compression for on-chip caches

Gennady Pekhimenko;Vivek Seshadri;Onur Mutlu;Michael A. Kozuch

453
Citations
RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization

Vivek Seshadri;Yoongu Kim;Chris Fallin;Donghyuk Lee

413
Citations
SybilGuard: defending against sybil attacks via social networks

Haifeng Yu;Michael Kaminsky;Phillip B. Gibbons;Abraham D. Flaxman

398
Citations
The Non-IID Data Quagmire of Decentralized Machine Learning

Kevin Hsieh;Amar Phanishayee;Onur Mutlu;Phillip Gibbons

115
Citations
Retrospective: memory consistency and event ordering in scalable shared-memory multiprocessors

Kourosh Gharachorloo

7
Citations

Frequent Co-Authors

Yossi Matias Google (United States)

Todd C. Mowry Carnegie Mellon University

Guy E. Blelloch Carnegie Mellon University

Michael Kozuch Intel (United States)

Suman Nath Microsoft (United States)

Onur Mutlu ETH Zurich

Srinivasan Seshan Carnegie Mellon University

Vijaya Ramachandran The University of Texas at Austin

Gennady Pekhimenko University of Toronto

Gregory R. Ganger Carnegie Mellon University

External Links

Personal website of Phillip B. Gibbons Google Scholar page

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