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
Poster
- 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