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Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups
5 November 2021
A. Wainakh
Ephraim Zimmer
Sandeep Subedi
Jens Keim
Tim Grube
Shankar Karuppayah
Alejandro Sánchez Guinea
Max Mühlhäuser
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Papers citing
"Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups"
7 / 7 papers shown
Title
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics
Daniele Malpetti
Marco Scutari
Francesco Gualdi
Jessica van Setten
Sander van der Laan
Saskia Haitjema
Aaron Mark Lee
Isabelle Hering
Francesca Mangili
FedML
AI4CE
98
1
0
12 Mar 2025
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
Rui Zhang
Song Guo
Junxiao Wang
Xin Xie
Dacheng Tao
27
36
0
15 Jun 2022
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
219
608
0
13 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
162
564
0
27 Jul 2020
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition
Y. Kim
Wonpyo Park
Myung-Cheol Roh
Jongju Shin
CVBM
44
88
0
21 May 2020
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
433
0
04 Mar 2020
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,031
0
29 Nov 2018
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