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dblp-watcher's Introduction

Yuwen Yang / 白小鱼 (youngfish)

blog ∙ zhihu ∙ note ∙ github ∙ bilibili

Welcome to my github profile!

  • 🔭 I’m currently a Ph.D. Candidate @SJTU.
  • 🌱 My current research interests are focus on federated learning and edge intelligence.
  • 📫 You can reach me at [email protected].
  • 🎨 I hope to make more attempts in my life and know everything I want.
  • ❤️ Love writing articles about frontier progress and funny things of AI.

🤹‍♀️ Recent Blog

Date Title
2023-03-02 Hello World
2022-01-16 Hello World

🤾‍♂️ Funny Soul

Date Title
2024-04-16 看过😎 我独自升级 ⭐⭐⭐
2024-03-09 看过😎 周处除三害 ⭐⭐⭐⭐
2024-02-27 看过😎 第二十条 ⭐⭐⭐⭐
2024-02-05 看过😎 牧马人 ⭐⭐⭐⭐⭐
2024-01-19 看过😎 堤亚穆帝国物语～从断头台开始，公主重生后的逆转人生～ ⭐⭐⭐⭐

dblp-watcher's People

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dblp-watcher's Issues

Paper Explore 2022-12-31

Federated graph|subgraph|gnn

Explore 1 new papers about Federated graph|subgraph|gnn on dblp!!!

Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning.

  • Authors: Chenhan Zhang, Shiyao Zhang, Shui Yu 0001, James J. Q. Yu
  • Venue: WCNC
  • Year: 2022

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 1 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

Boosting Accuracy of Differentially Private Federated Learning in Industrial IoT With Sparse Responses.

  • Authors: Laizhong Cui, Jiating Ma, Yipeng Zhou, Shui Yu 0001
  • Venue: IEEE Trans. Ind. Informatics
  • Year: 2023

Paper Explore 2022-12-01

Federated graph|subgraph|gnn

Explore 1 new papers about Federated graph|subgraph|gnn on dblp!!!

FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper.

  • Authors: Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li 0006, Caiwen Ding, Weiwen Jiang, Lei Yang
  • Venue: ICCAD
  • Year: 2021

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 0 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

Paper Explore 2023-01-05

Federated graph|subgraph|gnn

Explore 2 new papers about Federated graph|subgraph|gnn on dblp!!!

HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning.

  • Authors: Xumeng Wang, Wei Chen 0001, Jiazhi Xia, Zhen Wen, Rongchen Zhu, Tobias Schreck
  • Venue: IEEE Trans. Vis. Comput. Graph.
  • Year: 2023

Graph Federated Learning with Hidden Representation Sharing.

  • Authors: Shuang Wu, Mingxuan Zhang, Yuantong Li, Carl Yang, Pan Li 0005
  • Venue: CoRR
  • Year: 2022

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 0 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

Paper Explore 2022-11-30

Federated graph|subgraph|gnn

Explore 2 new papers about Federated graph|subgraph|gnn on dblp!!!

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing.

  • Authors: Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu 0001, Chengqi Zhang
  • Venue: CoRR
  • Year: 2022

Federated Graph-based Sampling with Arbitrary Client Availability.

  • Authors: Zheng Wang, Xiaoliang Fan, Jianzhong Qi 0001, Haibing Jin, Peizhen Yang, Siqi Shen, Cheng Wang 0003
  • Venue: CoRR
  • Year: 2022

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 2 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data.

  • Authors: Shaoming Duan, Chuanyi Liu, Peiyi Han, Tianyu He, Yifeng Xu, Qiyuan Deng
  • Venue: CoRR
  • Year: 2022

Incentive-boosted Federated Crowdsourcing.

  • Authors: Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang
  • Venue: CoRR
  • Year: 2022

Paper Explore 2022-12-14

Federated graph|subgraph|gnn

Explore 4 new papers about Federated graph|subgraph|gnn on dblp!!!

The 1st International Workshop on Federated Learning with Graph Data (FedGraph).

  • Authors: Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He 0001, Lingjuan Lyu, Lichao Sun 0001, Salman Avestimehr
  • Venue: CIKM
  • Year: 2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.

  • Authors: Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Lichao Sun 0001
  • Venue: CoRR
  • Year: 2022

Subgraph Federated Learning with Missing Neighbor Generation.

  • Authors: Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun 0001, Siu-Ming Yiu
  • Venue: NeurIPS
  • Year: 2021

Subgraph Federated Learning with Missing Neighbor Generation.

  • Authors: Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun 0001, Siu-Ming Yiu
  • Venue: CoRR
  • Year: 2021

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 0 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

Paper Explore 2022-12-08

Federated graph|subgraph|gnn

Explore 1 new papers about Federated graph|subgraph|gnn on dblp!!!

Personalized Federated Learning With a Graph.

  • Authors: Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou 0001, Jing Jiang 0002
  • Venue: IJCAI
  • Year: 2022

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 0 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

Paper Explore 2023-01-04

Federated graph|subgraph|gnn

Explore 2 new papers about Federated graph|subgraph|gnn on dblp!!!

Graph-Driven Federated Data Management.

  • Authors: Sergi Nadal, Alberto Abelló, Oscar Romero 0001, Stijn Vansummeren, Panos Vassiliadis
  • Venue: IEEE Trans. Knowl. Data Eng.
  • Year: 2023

Neural graph collaborative filtering for privacy preservation based on federated transfer learning.

  • Authors: Yaqi Liu, Shuzhen Fang, Lingyu Wang, Chong Huan, Ruixue Wang
  • Venue: Electron. Libr.
  • Year: 2022

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 0 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

Paper Explore 2023-01-09

Federated graph|subgraph|gnn

Explore 1 new papers about Federated graph|subgraph|gnn on dblp!!!

Graph Federated Learning for CIoT Devices in Smart Home Applications.

  • Authors: Arash Rasti-Meymandi, Seyed Mohammad Sheikholeslami, Jamshid Abouei, Konstantinos N. Plataniotis
  • Venue: CoRR
  • Year: 2022

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 0 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

Paper Explore 2022-12-10

Federated graph|subgraph|gnn

Explore 0 new papers about Federated graph|subgraph|gnn on dblp!!!

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 2 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee.

  • Authors: Tiansheng Huang, Weiwei Lin 0001, Wentai Wu, Ligang He, Keqin Li 0001, Albert Y. Zomaya
  • Venue: IEEE Trans. Parallel Distributed Syst.
  • Year: 2021

An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee.

  • Authors: Tiansheng Huang, Weiwei Lin 0001, Wentai Wu, Ligang He, Keqin Li 0001, Albert Y. Zomaya
  • Venue: CoRR
  • Year: 2020

Paper Explore 2022-11-24

Federated graph|subgraph|gnn

Explore 2 new papers about Federated graph|subgraph|gnn on dblp!!!

Peer-to-Peer Variational Federated Learning Over Arbitrary Graphs.

  • Authors: Xinghan Wang, Anusha Lalitha, Tara Javidi, Farinaz Koushanfar
  • Venue: IEEE J. Sel. Areas Inf. Theory
  • Year: 2022

Federated Multi-task Graph Learning.

  • Authors: Yijing Liu, Dongming Han, Jianwei Zhang, Haiyang Zhu, Mingliang Xu, Wei Chen 0001
  • Venue: ACM Trans. Intell. Syst. Technol.
  • Year: 2022

federate tree|boost|bagging|gbdt|tabular|forest|XGBoost

Explore 3 new papers about federate tree|boost|bagging|gbdt|tabular|forest|XGBoost on dblp!!!

An optional splitting extraction based gain-AUPRC balanced strategy in federated XGBoost for mitigating imbalanced credit card fraud detection.

  • Authors: Jiao Tian, Pei-Wei Tsai, Feiran Wang, Kai Zhang, Hongwang Xiao, Jinjun Chen
  • Venue: Int. J. Bio Inspired Comput.
  • Year: 2022

RevFRF: Enabling Cross-Domain Random Forest Training With Revocable Federated Learning.

  • Authors: Yang Liu 0118, Zhuo Ma, Yilong Yang 0004, Ximeng Liu, Jianfeng Ma 0001, Kui Ren 0001
  • Venue: IEEE Trans. Dependable Secur. Comput.
  • Year: 2022

An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization.

  • Authors: Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-Hui Chang, Qingjiang Shi
  • Venue: ACM Trans. Intell. Syst. Technol.
  • Year: 2022

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