| Federatedscope: A flexible federated learning platform for heterogeneity Y Xie, Z Wang, D Gao, D Chen, L Yao, W Kuang, Y Li, B Ding, J Zhou arXiv preprint arXiv:2204.05011, 2022 | 94 | 2022 |
| Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning W Kuang, B Qian, Z Li, D Chen, D Gao, X Pan, Y Xie, Y Li, B Ding, J Zhou Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 91 | 2024 |
| Federatedscope-gnn: Towards a unified, comprehensive and efficient package for federated graph learning Z Wang, W Kuang, Y Xie, L Yao, Y Li, B Ding, J Zhou Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 81 | 2022 |
| pfl-bench: A comprehensive benchmark for personalized federated learning D Chen, D Gao, W Kuang, Y Li, B Ding Advances in Neural Information Processing Systems 35, 9344-9360, 2022 | 74 | 2022 |
| Graph neural networks with node-wise architecture Z Wang, Z Wei, Y Li, W Kuang, B Ding Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 18 | 2022 |
| Federatedscope: A comprehensive and flexible federated learning platform via message passing Y Xie, Z Wang, D Chen, D Gao, L Yao, W Kuang, Y Li, B Ding, J Zhou arXiv preprint arXiv:2204.05011 11, 2022 | 16 | 2022 |
| Agentscope: A flexible yet robust multi-agent platform D Gao, Z Li, X Pan, W Kuang, Z Ma, B Qian, F Wei, W Zhang, Y Xie, ... arXiv preprint arXiv:2402.14034, 2024 | 14 | 2024 |
| A benchmark for federated hetero-task learning L Yao, D Gao, Z Wang, Y Xie, W Kuang, D Chen, H Wang, C Dong, ... arXiv preprint arXiv:2206.03436, 2022 | 12 | 2022 |
| FedHPO-B: A benchmark suite for federated Hyperparameter optimization Z Wang, W Kuang, C Zhang, B Ding, Y Li arXiv preprint arXiv:2206.03966, 2022 | 10 | 2022 |
| Coarformer: Transformer for large graph via graph coarsening W Kuang, W Zhen, Y Li, Z Wei, B Ding | 10 | 2021 |
| FEDHPO-BENCH: a benchmark suite for federated hyperparameter optimization Z Wang, W Kuang, C Zhang, B Ding, Y Li International Conference on Machine Learning, 35908-35948, 2023 | 4 | 2023 |
| When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture W Kuang, Z Wang, Z Wei, Y Li, B Ding IEEE Transactions on Knowledge and Data Engineering, 2024 | 3 | 2024 |
| Federated hetero-task learning L Yao, D Gao, Z Wang, Y Xie, W Kuang, D Chen, H Wang, C Dong, ... arXiv preprint arXiv:2206.03436, 2022 | 3 | 2022 |
| Is Sharing Neighbor Generator in Federated Graph Learning Safe? L Yao, Z Wang, Y Xie, Y Li, W Kuang, D Chen, B Ding IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| Performance Adjustment for Federated Learning Marketplace L Yao, Z Li, W Kuang, Y Li, B Ding | | |
Bolin DingAlibaba GroupEmail verificata su alibaba-inc.com