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Federated One-Shot Learning with Data Privacy and Objective-Hiding

Federated One-Shot Learning with Data Privacy and Objective-Hiding

Maximilian Egger
Rüdiger Urbanke
Rawad Bitar
ArXiv (abs)PDFHTML

Papers citing "Federated One-Shot Learning with Data Privacy and Objective-Hiding"

15 / 15 papers shown
Title
Privacy-Preserving Polynomial Computing Over Distributed Data
Privacy-Preserving Polynomial Computing Over Distributed Data
Zhiquan Tan
Dingli Yuan
Zhongyi Huang
FedML
92
1
0
17 Sep 2023
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation
Haitao Tang
Yu Fu
Lei Sun
Jiabin Xue
Dan Liu
...
Zhiqiang Ma
Minghui Wu
Jia Pan
Genshun Wan
Ming’En Zhao
68
4
0
27 Jun 2023
Digital Blind Box: Random Symmetric Private Information Retrieval
Digital Blind Box: Random Symmetric Private Information Retrieval
Zhusheng Wang
S. Ulukus
51
10
0
16 May 2022
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning
Tayyebeh Jahani-Nezhad
M. Maddah-ali
Songze Li
Giuseppe Caire
FedML
83
53
0
24 Mar 2022
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning
Reent Schlegel
Siddhartha Kumar
E. Rosnes
Alexandre Graell i Amat
FedML
58
45
0
16 Dec 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So
Chaoyang He
Chien-Sheng Yang
Songze Li
Qian-long Yu
Ramy E. Ali
Başak Güler
Salman Avestimehr
FedML
116
178
0
29 Sep 2021
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
S. Ulukus
Salman Avestimehr
Michael C. Gastpar
S. Jafar
Ravi Tandon
Chao Tian
FedML
100
68
0
30 Jul 2021
Symmetric Private Information Retrieval with User-Side Common Randomness
Symmetric Private Information Retrieval with User-Side Common Randomness
Zhusheng Wang
S. Ulukus
63
11
0
12 May 2021
Adaptive Multi-Teacher Multi-level Knowledge Distillation
Adaptive Multi-Teacher Multi-level Knowledge Distillation
Yuang Liu
Wei Zhang
Jun Wang
73
159
0
06 Mar 2021
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
S. Kadhe
Nived Rajaraman
O. O. Koyluoglu
Kannan Ramchandran
FedML
88
164
0
23 Sep 2020
Semantic Private Information Retrieval
Semantic Private Information Retrieval
Sajani Vithana
Karim A. Banawan
S. Ulukus
42
38
0
30 Mar 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
273
6,294
0
10 Dec 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Yue Liu
Zeyi Wen
Zhaomin Wu
Sixu Hu
Naibo Wang
Yuan N. Li
Xu Liu
Bingsheng He
FedML
113
1,005
0
23 Jul 2019
Private Function Retrieval
Private Function Retrieval
Mahtab Mirmohseni
M. Maddah-ali
47
74
0
13 Nov 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
408
17,593
0
17 Feb 2016