Stanley Hung

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All published works

Action	Title	Year	Authors
+	Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications	2021	Matthias Paulik Matt Seigel H. Benjamin Mason Dominic Telaar Joris Kluivers Rogier C. van Dalen Chi Wai Lau Luke Carlson Filip Granqvist Chris Vandevelde
+	Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications	2021	Matthias Paulik Matt Seigel H. Benjamin Mason Dominic Telaar Joris Kluivers Rogier van Dalen Chi Wai Lau Luke Carlson Filip Granqvist Chris Vandevelde

Common Coauthors

Coauthor	Papers Together
Áine Cahill	2
Matt Seigel	2
Chris Vandevelde	2
Julien Freudiger	2
Dominic Telaar	2
Sudeep Agarwal	2
Andrew Byde	2
Matthias Paulik	2
H. Benjamin Mason	2
Omid Javidbakht	2
Joris Kluivers	2
Dominic Hughes	2
Filip Granqvist	2
Abhishek Bhowmick	2
Si Beaumont	2
Rehan Rishi	2
Luke Carlson	2
Chi Wai Lau	1
Fei Fei Dong	1
Rogier C. van Dalen	1
Gaurav Kapoor	1
Rogier van Dalen	1
Chi Wai Lau	1
Dong Fei	1
Gaurav Kapoor	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Federated Learning of Deep Networks using Model Averaging	2016	H. Brendan McMahan Eider Moore Daniel Ramage Blaise Agüera y Arcas	1
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	1
+	Practical Secure Aggregation for Federated Learning on User-Held Data	2016	Kallista Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. Brendan McMahan Sarvar Patel Daniel Ramage Aaron Segal Karn Seth	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+	On First-Order Meta-Learning Algorithms.	2018	Alex Nichol Joshua Achiam John Schulman	1
+	Protection Against Reconstruction and Its Applications in Private Federated Learning	2018	Abhishek Bhowmick John C. Duchi Julien Freudiger Gaurav Kapoor Ryan Rogers	1
+	Towards Federated Learning at Scale: System Design	2019	Keith Bonawitz Hubert Eichner Wolfgang Grieskamp Dzmitry Huba Alex Ingerman Vladimir Ivanov Chloé Kiddon Jakub Konečný Stefano Mazzocchi H. Brendan McMahan	1
+	Personalized Speech recognition on mobile devices	2016	Ian McGraw Rohit Prabhavalkar Raziel Álvarez Montse Gonzalez Arenas Kanishka Rao David Rybach Ouais Alsharif Haşim Sak Alexander Gruenstein Françoise Beaufays	1
+	Variational Federated Multi-Task Learning	2019	Luca Corinzia Joachim M. Buhmann	1
+	Decentralized Collaborative Learning of Personalized Models over Networks	2016	Paul Vanhaesebrouck Aurélien Bellet Marc Tommasi	1
+	Improving Federated Learning Personalization via Model Agnostic Meta Learning	2019	Yihan Jiang Jakub Konečný Keith Rush Sreeram Kannan	1
+ PDF Chat	Improving On-Device Speaker Verification Using Federated Learning with Privacy	2020	Filip Granqvist Matt Seigel Rogier van Dalen Áine Cahill Stephen Shum Matthias Paulik	1
+ PDF Chat	DJAM: Distributed Jacobi Asynchronous Method for Learning Personal Models	2018	Inês Almeida João Xavier	1
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	1