Awesome Federated Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Daguang Xu — most-cited papers & profile · Federated Learning
← authors
·
overview
Daguang Xu
21
papers ·
1836
citations ·
0
h-index
Nvidia (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
NVIDIA FLARE: Federated Learning from Simulation to Real-World
2022 · 59 citations
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
2023 · 7 citations
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
2022 · 4 citations
Fair Federated Medical Image Segmentation via Client Contribution Estimation
2023 · 4 citations
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
2023 · 3 citations
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation
2021 · 2 citations
Empowering Federated Learning for Massive Models with NVIDIA FLARE
2024 · 2 citations
C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System
2024 · 2 citations
Supercharging Federated Learning with Flower and NVIDIA FLARE
2024 · 1 citations
Federated Learning on Virtual Heterogeneous Data with Local-global Distillation
2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
2023
Top co-authors
Holger R. Roth
· 7
Ziyue Xu
· 6
Andrew Feng
· 5
Can Zhao
· 4
Chester Chen
· 4
Wenqi Li
· 4
Dong Yang
· 3
Isaac Yang
· 3
Yan Cheng
· 3
Yuan-Ting Hsieh
· 3
Zhihong Zhang
· 3
Andriy Myronenko
· 2
Topics
Federated Learning
Data Heterogeneity
Communication
Privacy