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Applied Federated Learning: Architectural Design for Robust and
  Efficient Learning in Privacy Aware Settings
v1v2 (latest)

Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings

2 June 2022
B. Stojković
Jonathan Woodbridge
Zhihan Fang
Jerry Cai
Andrey Petrov
Sathya Iyer
Daoyu Huang
Patrick Yau
Arvind Sastha Kumar
Hitesh Jawa
Anamita Guha
    FedML
ArXiv (abs)PDFHTML

Papers citing "Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings"

9 / 9 papers shown
Title
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
156
0
0
14 Oct 2025
A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection
A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection
Abhishek Sawaika
Swetang Krishna
Tushar Tomar
Durga Pritam Suggisetti
Aditi Lal
Tanmaya Shrivastav
Nouhaila Innan
Muhammad Shafique
FedML
120
5
0
15 Jul 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
F. Stricker
J. A. Peregrina
D. Bermbach
C. Zirpins
FedML
273
1
0
31 Jan 2025
Federated Learning in Practice: Reflections and Projections
Federated Learning in Practice: Reflections and ProjectionsInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2024
Katharine Daly
Hubert Eichner
Peter Kairouz
H. B. McMahan
Daniel Ramage
Zheng Xu
FedML
292
28
0
11 Oct 2024
LazyDP: Co-Designing Algorithm-Software for Scalable Training of
  Differentially Private Recommendation Models
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models
Juntaek Lim
Youngeun Kwon
Ranggi Hwang
Kiwan Maeng
Edward Suh
Minsoo Rhu
SyDa
182
1
0
12 Apr 2024
You Still See Me: How Data Protection Supports the Architecture of ML
  Surveillance
You Still See Me: How Data Protection Supports the Architecture of ML SurveillanceAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Rui-Jie Yew
Lucy Qin
Suresh Venkatasubramanian
186
4
0
09 Feb 2024
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch
  Size
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch SizeInternational Symposium on Information Theory (ISIT), 2023
John Chen
Chen Dun
Anastasios Kyrillidis
175
4
0
07 Sep 2023
Efficient and Light-Weight Federated Learning via Asynchronous
  Distributed Dropout
Efficient and Light-Weight Federated Learning via Asynchronous Distributed DropoutInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Chen Dun
Mirian Hipolito Garcia
C. Jermaine
Dimitrios Dimitriadis
Anastasios Kyrillidis
200
28
0
28 Oct 2022
Decision Models for Selecting Federated Learning Architecture Patterns
Decision Models for Selecting Federated Learning Architecture Patterns
Sin Kit Lo
Qinghua Lu
Hye-Young Paik
Liming Zhu
AI4CEFedML
177
0
0
28 Apr 2022
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