Peter Kairouz
 |
Research Scientist at Google |
News
Check out our one of a kind Advances and Open Problems in Federated Learning paper.
Our work Generative Models for Effective ML on Private, Decentralized Datasets will appear at ICLR 2020.
Our work Federated Heavy Hitters Discovery with Differential Privacy will appear at AISTATS 2020.
I am the lead organizer for Google's Workshop and Federated Learning and Analytics.
Check out our new work on Context-Aware Local Differential Privacy.
I have joined Google as a Research Scientist focusing on federated learning and differential privacy.
Check out our new work on Generative Adversarial Privacy.
Slides for my talk “Embracing Uncertainty” at Stanford SystemX IoE Workshop are now available here.
Check out our new work on Sparse Combinatorial Group Testing.
I have joined Stanford University as a Postdoctoral Scholar.
Slides for my talk “Discrete Distribution Estimation under Local Privacy Peter” at ICML 2016 are now available here.
I have successfully defended my PhD!
Our paper “Rumor Source Obfuscation on Irregular Trees” will appear in SIGMETRICS 2016.
I have been chosen to receive The 2016 Harold L. Olesen Award for Excellence in Undergraduate Teaching.
I will be teaching ECE 313/MATH 362: Probability with Engineering Applications this Fall.
Our paper Spy vs. Spy: Rumor Source Obfuscation was awarded the best paper award at SIGMETRICS 2015.
Our proposal on Statistical Data Privacy was awarded $500,000 in an NSF grant.
Biography
Peter Kairouz is a research scientist at Google, where he leads research efforts on distributed, privacy-preserving, and robust machine learning. Prior to joining Google, he was a postdoctoral research fellow at Stanford University, and before that, he was a PhD student at the University of Illinois Urbana-Champaign (UIUC). He is the recipient of the 2012 Roberto Padovani Scholarship from Qualcomm's Research Center, the 2015 ACM SIGMETRICS Best Paper Award, the 2015 Qualcomm Innovation Fellowship Finalist Award, and the 2016 Harold L. Olesen Award for Excellence in Undergraduate Teaching from UIUC.
Education
Postdoctoral Research Fellow, August 2018
University of Illinois at Urbana-Champaign
Ph.D. in Electrical and Computer Engineering, May 2016
M.S. in Applied Mathematics, May 2016
M.S. in Electrical and Computer Engineering, December 2012
B.E. in Electrical and Computer Engineering, June 2010
Awards
University of Illinois at Urbana-Champaign
The 2016 Harold L. Olesen Award for Excellence in Undergraduate Teaching
Association for Computing Machinery (ACM)
Best Paper Award at ACM SIGMETRICS 2015, with Giulia Fanti, Sewoong Oh, and Pramod Viswanath
Qualcomm Innovation Fellowship Finalist Award 2015, with Giulia Fanti
The 2012 Roberto Padovani Scholarship
Distinguished ECE Graduate Award, 2010
Benjamin Franklin Scholarship from the United States Agency for International Development, 2006
Graduated with High Distinction, 2006
Research Experience
Federated Learning and Differential Privacy, August 2018 - Present
Information Systems Laboratory, Stanford University
On-device Intelligence and Context-Aware Privacy, September 2016 - August 2018
Coordinated Science Laboratory, University of Illinois
Metadata Privacy and Privacy-Preserving Learning, January 2013 - August 2016
Google Research, Google Incorporated
Privacy Preserving Machine Learning Algorithms, May 2015 - August 2015
Qualcomm Research, Qualcomm Incorporated
Interference-Aware Rate Control for Small Cells, May 2013 - September 2013
Coordinated Science Laboratory, University of Illinois
Multi-Input Multi-Output Communications over Optical Networks, August 2010 - December 2012
Qualcomm Research, Qualcomm Incorporated
Variable Block Length Coding for LTE Systems, May 2012 - September 2012
Center for Automation Research, University of Maryland
Face Recognition Algorithms for Large Datasets, June 2009 - September 2009
Teaching Experience
ECE 313/MATH 362: Probability with Engineering Applications, Fall 2015
ECE 398BD: Making Sense of Big Data, Spring and Fall 2014, Spring 2016
ECE 310: Digital Signal Processing, Summer 2010
ECE 311: Digital Signal Processing Lab, Summer 2010
Conferences Organized
General Chair for the Google Workshop on Federated Learning and Analytics, Summer 2019
General Chair for the 10th Annual CSL Student Conference, Spring 2015
Media Chair for the 6th Annual CSL Student Conference, Spring 2011