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
Yaliang Li — most-cited papers & profile · Federated Learning
← authors
·
overview
Yaliang Li
49
papers ·
1736
citations ·
44
h-index
Alibaba Group (China)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
2024 · 27 citations
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
2022 · 23 citations
Efficient Personalized Federated Learning via Sparse Model-Adaptation
2023 · 9 citations
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
2023 · 9 citations
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
2023 · 8 citations
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
2022 · 6 citations
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization
2022 · 6 citations
Improving LoRA in Privacy-preserving Federated Learning
2024 · 6 citations
A Benchmark for Federated Hetero-Task Learning
2022 · 3 citations
HPN: Personalized Federated Hyperparameter Optimization
2023 · 3 citations
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
2022 · 2 citations
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
2024 · 2 citations
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks
2023 · 1 citations
FS-Real: Towards Real-World Cross-Device Federated Learning
2023 · 1 citations
Exploring Selective Layer Fine-Tuning in Federated Learning
2024 · 1 citations
Top co-authors
Bolin Ding
· 12
Daoyuan Chen
· 10
Liuyi Yao
· 7
Yuexiang Xie
· 7
Dawei Gao
· 6
Weirui Kuang
· 6
Jingren Zhou
· 5
Zhen Wang
· 3
Zitao Li
· 3
Bingchen Qian
· 2
Bolin Ding
· 2
Bolin Ding
· 2
Topics
Federated Learning
Privacy
Optimization
Data Heterogeneity
Communication