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
Om Thakkar — most-cited papers & profile · Federated Learning
← authors
·
overview
Om Thakkar
13
papers ·
197
citations ·
11
h-index
OpenAI (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Differentially Private Learning with Adaptive Clipping
2019 · 89 citations
Practical and Private (Deep) Learning without Sampling or Shuffling
2021 · 22 citations
Understanding Unintended Memorization in Federated Learning
2020 · 20 citations
Training Production Language Models without Memorizing User Data
2020 · 16 citations
Revealing and Protecting Labels in Distributed Training
2021 · 9 citations
Privacy Amplification via Random Check-Ins
2020 · 2 citations
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
2021 · 1 citations
Top co-authors
Fran\c{c}oise Beaufays
· 4
Rajiv Mathews
· 4
Swaroop Ramaswamy
· 4
H. Brendan McMahan
· 3
Abhradeep Thakurta
· 2
Galen Andrew
· 2
Peter Chin
· 2
Peter Kairouz
· 2
Borja Balle
· 1
Brendan McMahan
· 1
Shuang Song
· 1
Swaroop Ramaswamy
· 1
Topics
Federated Learning
Privacy
Optimization
Data Heterogeneity
Edge Computing
Adversarial Attacks
Security