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
Pengchao Han — most-cited papers & profile · Federated Learning
← authors
·
overview
Pengchao Han
7
papers ·
15
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
2020 · 9 citations
Convergence Analysis of Split Federated Learning on Heterogeneous Data
2024 · 5 citations
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
2023 · 1 citations
Rethinking Knowledge Distillation in Collaborative Machine Learning: Memory, Knowledge, and Their Interactions
2025
Optimization Design for Federated Learning in Heterogeneous 6G Networks
2023
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
2023
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
2024
Top co-authors
Jianwei Huang
· 3
Shiqiang Wang
· 2
and Guojun Han
· 1
Bing Luo
· 1
Bo Liu
· 1
Chao Huang
· 1
Geng Tian
· 1
Kin K. Leung
· 1
Ming Tang
· 1
Ningning Ding
· 1
Peng Sun
· 1
Xiaomin Ouyang
· 1
Topics
Federated Learning
Data Heterogeneity
Optimization
Privacy
Communication
Adversarial Attacks