FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui XUE, Ruhui Ma, Haibing Guan
KDD 2023 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
496papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled496100.0%
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TitleTypeTopic
FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity
Zhen Qin, Shuiguang Deng, Mingyu Zhao, Xueqiang Yan
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations
Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V Bonilla, Gholamreza Haffari, Dinh Phung
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors – Algorithm and Application
Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang
Fairness-Aware Continuous Predictions of Multiple Analytics Targets in Dynamic Networks
Ruifeng Liu, Qu Liu, Tingjian Ge
FairCod: A Fairness-Aware Concurrent Dispatch System for Large-scale Instant Delivery Services
Lin Jiang, Shuai Wang, Baoshen Guo, Hai Wang, Desheng Zhang, Guang Wang
Fair Multilingual Vandalism Detection System for Wikipedia
Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou, Ricardo Baeza-Yates, Diego Saez-Trumper
Fair Allocation Over Time, with Applications to Content Moderation
Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Nona Bohanon, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolas Stier Moses, Ken Rodriguez Taarup
FS-REAL: Towards Real-World Cross-Device Federated Learning
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs
Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He
FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework
Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella
Extreme Multi-Label Classification for Ad Targeting using Factorization Machines
Martin Pavlovski, Srinath Ravindran, Djordje Gligorijevic, Shubham Agrawal, Ivan Stojkovic, Nelson Segura-Nunez, Jelena Gligorijevic
Exploiting Relation-Aware Attribute Representation Learning in Knowledge Graph Embedding for Numerical Reasoning
Gayeong Kim, Sookyung Kim, Ko Keun Kim, Suchan Park, Heesoo Jung, Hogun Park
Exploiting Intent Evolution in E-commercial Query Recommendation
Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Cheng, Bing Yin, Suhang Wang, Philip S. Yu
Explicit Feature Interaction-Aware Uplift Network for Online Marketing
Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, xiuqiang He
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI
Juntao Tan, Yongfeng Zhang
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
Xinyue Hu, Qiyuan An, Zhang Mengliang, Liangchen Liu, Kazuma Kobayashi, Ronald M. Summers, Yingying Zhu
Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring
Runzhe Wan, Yu Liu, James McQueen, Doug Hains, Rui Song
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency
ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
Entity-Aware Multi-Task Learning for Query Understanding at Walmart
Zhiyuan Peng, Vachik Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala