More from the Same Authors

• 2021 : Neural Network-based Estimation of the MMSE »
  Mario Diaz · Peter Kairouz · Lalitha Sankar
• 2021 : Local Adaptivity in Federated Learning: Convergence and Consistency »
  Jianyu Wang · Zheng Xu · Luyang Liu
• 2021 : Federated Learning with Buffered Asynchronous Aggregation »
  John Nguyen · Kshitiz Malik · Ashkan Yousefpour
• 2021 : The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
  Peter Kairouz · Ziyu Liu · Thomas Steinke
• 2021 : On the Renyi Differential Privacy of the Shuffle Model »
  Antonious M Girgis · Deepesh Data · Suhas Diggavi · Ananda Theertha Suresh · Peter Kairouz
• 2021 : Practical and Private (Deep) Learning without Sampling orShuffling »
  Peter Kairouz · Hugh B McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
• 2021 : Industrial Booth (IBM) »
  Shiqiang Wang · Nathalie Baracaldo
• 2021 : Industrial Booth (Facebook) »
  Kshitiz Malik · Ashkan Yousefpour
• 2021 : Industrial Booth (Google) »
  Zheng Xu · Peter Kairouz
• 2022 : Fair Universal Representations using Adversarial Models »
  Monica Welfert · Peter Kairouz · Jiachun Liao · Chong Huang · Lalitha Sankar
• 2022 Poster: Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data »
  Timothy Castiglia · Anirban Das · Shiqiang Wang · Stacy Patterson
• 2022 Poster: Federated Learning with Partial Model Personalization »
  Krishna Pillutla · Kshitiz Malik · Abdel-rahman Mohamed · Michael Rabbat · Maziar Sanjabi · Lin Xiao
• 2022 Spotlight: Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data »
  Timothy Castiglia · Anirban Das · Shiqiang Wang · Stacy Patterson
• 2022 Spotlight: Federated Learning with Partial Model Personalization »
  Krishna Pillutla · Kshitiz Malik · Abdel-rahman Mohamed · Michael Rabbat · Maziar Sanjabi · Lin Xiao
• 2022 Poster: The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning »
  Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh
• 2022 Poster: The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation »
  Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
• 2022 Spotlight: The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning »
  Wei-Ning Chen · Christopher Choquette Choo · Peter Kairouz · Ananda Suresh
• 2022 Oral: The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation »
  Wei-Ning Chen · Ayfer Ozgur · Peter Kairouz
• 2021 : Closing Remarks »
  Shiqiang Wang · Nathalie Baracaldo · Olivia Choudhury · Gauri Joshi · Peter Richtarik · Praneeth Vepakomma · Han Yu
• 2021 Workshop: International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21) »
  Nathalie Baracaldo · Olivia Choudhury · Gauri Joshi · Peter Richtarik · Praneeth Vepakomma · Shiqiang Wang · Han Yu
• 2021 : Opening Remarks »
  Shiqiang Wang · Nathalie Baracaldo · Olivia Choudhury · Gauri Joshi · Peter Richtarik · Praneeth Vepakomma · Han Yu
• 2021 : Contributed Talks Session 1 »
  Marika Swanberg · Samuel Haney · Peter Kairouz
• 2021 Poster: Practical and Private (Deep) Learning Without Sampling or Shuffling »
  Peter Kairouz · Brendan McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
• 2021 Poster: The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
  Peter Kairouz · Ziyu Liu · Thomas Steinke
• 2021 Spotlight: The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation »
  Peter Kairouz · Ziyu Liu · Thomas Steinke
• 2021 Spotlight: Practical and Private (Deep) Learning Without Sampling or Shuffling »
  Peter Kairouz · Brendan McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
• 2021 : Governance in FL: Providing AI Fairness and Accountability »
  Nathalie Baracaldo · Ali Anwar · Annie Abay
• 2021 Expo Talk Panel: Enterprise-Strength Federated Learning: New Algorithms, New Paradigms, and a Participant-Interactive Demonstration Session »
  Laura Wynter · Nathalie Baracaldo · Chaitanya Kumar · Parijat Dube · Mikhail Yurochkin · Theodoros Salonidis · Shiqiang Wang
• 2021 : Adaptive Federated Learning for Communication and Computation Efficiency (2021 IEEE Leonard Prize-winning work). »
  Shiqiang Wang
• 2020 : Closing remarks »
  Nathalie Baracaldo · Olivia Choudhury · Gauri Joshi · Ramesh Raskar · Shiqiang Wang · Han Yu
• 2020 : Opening remarks »
  Nathalie Baracaldo · Olivia Choudhury · Gauri Joshi · Ramesh Raskar · Shiqiang Wang · Han Yu
• 2020 Workshop: Federated Learning for User Privacy and Data Confidentiality »
  Nathalie Baracaldo · Olivia Choudhury · Olivia Choudhury · Gauri Joshi · Ramesh Raskar · Gauri Joshi · Shiqiang Wang · Han Yu
• 2020 Poster: Context Aware Local Differential Privacy »
  Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun