Publications
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FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD’23 pdf
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou.
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Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD’23 pdf
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng.
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Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD’23 pdf
Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li.
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Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML’23 pdf
Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li.
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FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML’23 pdf
Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li.
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FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. VLDB’23 pdf
Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou.
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pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS’22. pdf
Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding.
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FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD’22. pdf
Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou.
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Federated Matrix Factorization with Privacy Guarantee. VLDB’21. pdf
Zitao Li, Bolin Ding, Ce Zhang, Ninghui Li, Jingren Zhou
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Collecting and Analyzing Data Jointly from Multiple Services under Local Differential Privacy. VLDB’20. pdf
Min Xu, Bolin Ding, Tianhao Wang, Jingren Zhou.
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Improving Utility and Security of the Shuffler-based Differential Privacy. VLDB’20. pdf
Tianhao Wang, Bolin Ding, Min Xu, Zhicong Huang, Cheng Hong, Jingren Zhou, Ninghui Li, Somesh Jha.
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Answering Multi-Dimensional Analytical Queries under Local Differential Privacy. SIGMOD’19. pdf
Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha.
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DPSAaS: Multi-Dimensional Data Sharing and Analytics as Services under Local Differential Privacy. VLDB’19. pdf
Min Xu, Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang.