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EIFFeL: Ensuring Integrity for Federated Learning

EIFFeL: Ensuring Integrity for Federated Learning

23 December 2021
A. Chowdhury
Chuan Guo
S. Jha
L. V. D. van der Maaten
    FedML
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Papers citing "EIFFeL: Ensuring Integrity for Federated Learning"

14 / 14 papers shown
Title
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Yiwei Zhang
R. Behnia
A. Yavuz
Reza Ebrahimi
E. Bertino
FedML
31
0
0
09 May 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
Zhihui Zhao
Xiaorong Dong
Yimo Ren
Jianhua Wang
Dan Yu
Hongsong Zhu
Yongle Chen
77
0
0
24 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
38
0
0
03 Feb 2025
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs
ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs
Yongming Fan
Rui Zhu
Zihao Wang
Chenghong Wang
Haixu Tang
Ye Dong
Hyunghoon Cho
Lucila Ohno-Machado
43
0
0
12 Jan 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning
Runhua Xu
Bo Li
Chao Li
J. Joshi
Shuai Ma
Jianxin Li
FedML
33
10
0
10 Jan 2025
Asynchronous Byzantine Federated Learning
Asynchronous Byzantine Federated Learning
Bart Cox
Abele Malan
Lydia Y. Chen
Jérémie Decouchant
42
1
0
03 Jun 2024
Federated learning with differential privacy and an untrusted aggregator
Federated learning with differential privacy and an untrusted aggregator
Kunlong Liu
Trinabh Gupta
37
0
0
17 Dec 2023
A Survey for Federated Learning Evaluations: Goals and Measures
A Survey for Federated Learning Evaluations: Goals and Measures
Di Chai
Leye Wang
Liu Yang
Junxue Zhang
Kai Chen
Qian Yang
ELM
FedML
17
21
0
23 Aug 2023
Robustness of Locally Differentially Private Graph Analysis Against
  Poisoning
Robustness of Locally Differentially Private Graph Analysis Against Poisoning
Jacob Imola
A. Chowdhury
Kamalika Chaudhuri
AAML
20
6
0
25 Oct 2022
MUDGUARD: Taming Malicious Majorities in Federated Learning using
  Privacy-Preserving Byzantine-Robust Clustering
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering
Rui Wang
Xingkai Wang
H. Chen
Jérémie Decouchant
S. Picek
Z. Liu
K. Liang
29
1
0
22 Aug 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning
zPROBE: Zero Peek Robustness Checks for Federated Learning
Zahra Ghodsi
Mojan Javaheripi
Nojan Sheybani
Xinqiao Zhang
Ke Huang
F. Koushanfar
FedML
34
17
0
24 Jun 2022
Leveraging Public Data for Practical Private Query Release
Leveraging Public Data for Practical Private Query Release
Terrance Liu
G. Vietri
Thomas Steinke
Jonathan R. Ullman
Zhiwei Steven Wu
148
58
0
17 Feb 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
106
611
0
27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,032
0
29 Nov 2018
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