Awards and Oral
- 🏆 Best Industry Paper Award: Is Normalization Indispensable for Multi-domain Federated Learning?.
Weiming Zhuang, Lingjuan Lyu
- 🏆 Best Student Paper Award: Distributed Personalized Empirical Risk Minimization.
Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi
- Once-for-All Federated Learning: Learning From and Deploying to Heterogeneous Clients.
Kamala Varma, Enmao Diao, Tanya Roosta, Jie Ding, Tao Zhang
- SparseVFL: Communication-Efficient Vertical Federated Learning Based on Sparsification of Embeddings and Gradients.
Yoshitaka Inoue, Hiroki Moriya, Qiong Zhang, Kris Skrinak
- Optimization of User Resources in Federated Learning for Urban Sensing Applications.
Sparsh Gupta, Ayshika Kapoor, Dheeraj Kumar
- FedLEGO: Enabling Heterogenous Model Cooperation via Brick Reassembly in Federated Learning.
Jiaqi Wang, Suhan Cui, Fenglong Ma
- Federated Graph Analytics with Differential Privacy.
Shang Liu, Yang Cao, Masatoshi Yoshikawa
- Scaling Distributed Multi-task Reinforcement Learning with Experience Sharing.
Sanae Amani, Khushbu Pahwa, Vladimir Braverman, Lin Yang
- Uncertainty Quantification in Federated Learning for Heterogeneous Health Data.
Yuwei Zhang, Tong Xia, Abhirup Ghosh, Cecilia Mascolo
- A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing.
Le Peng, Sicheng Zhou, Jiandong Chen, Rui Zhang, Ziyue Xu, Ju Sun
- Taming Heterogeneity to Deal with Test-Time Shift in Federated Learning.
Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long
- Federated Blood Supply Chain Demand Forecasting: A Case Study.
Hanzhe Wei, Jiajun Wu, Na Li, Jiayu Zhou, Steve Drew
- Stochastic Clustered Federated Learning.
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Hui Wang, Qifan Wang, Zenglin Xu
- A Privacy-Preserving Hybrid Federated Learning Framework for Financial Crime Detection.
Haobo Zhang, Junyuan Hong, Fan Dong, Steve Drew, Liangjie Xue, Jiayu Zhou
- Exploring the Efficacy of Data-Decoupled Federated Learning for Image Classification and Medical Imaging Analysis.
Muhammad Jahanzeb Khan, Olamide Timothy Tawose, Rui Hu, Dongfang Zhao
- FedNoisy: A Federated Noisy Label Learning Benchmark.
Siqi Liang, Jintao Huang, Junyuan Hong, Dun Zeng, Jiayu Zhou, Zenglin Xu
- Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging.
Guangyao Zheng, Michael A. Jacobs, Vladimir Braverman, Vishwa Sanjay Parekh
- Federated learning for competing risk analysis in healthcare.
Md Mahmudur Rahman, Sanjay Purushotham
- Federated Threat Detection for Smart Home IoT rules.
Guangjing Wang, Qiben Yan