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.
Memory consistency and event ordering in scalable shared-memory multiprocessors
Kourosh Gharachorloo;Daniel Lenoski;James Laudon;Phillip Gibbons.
international symposium on computer architecture (1990)
Advances and open problems in federated learning
Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet.
Foundations and Trends® in Machine Learning (2021)
LOCI: fast outlier detection using the local correlation integral
S. Papadimitriou;H. Kitagawa;P.B. Gibbons;C. Faloutsos.
international conference on data engineering (2003)
SybilGuard: defending against sybil attacks via social networks
Haifeng Yu;Michael Kaminsky;Phillip B. Gibbons;Abraham Flaxman.
acm special interest group on data communication (2006)
Advances and Open Problems in Federated Learning
Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet.
arXiv: Learning (2019)
SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks
Haifeng Yu;P.B. Gibbons;M. Kaminsky;Feng Xiao.
ieee symposium on security and privacy (2008)
Synopsis diffusion for robust aggregation in sensor networks
Suman Nath;Phillip B. Gibbons;Srinivasan Seshan;Zachary Anderson.
ACM Transactions on Sensor Networks (2008)
System and method for providing anonymous personalized browsing by a proxy system in a network
Eran Gabber;Phillip P. Gibbons;Yossi Matias;Alain J. Mayer.
(1997)
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Qirong Ho;James Cipar;Henggang Cui;Seunghak Lee.
neural information processing systems (2013)
IrisNet: an architecture for a worldwide sensor Web
P.B. Gibbons;B. Karp;Y. Ke;S. Nath.
IEEE Pervasive Computing (2003)
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