| Client selection in nonconvex federated learning: Improved convergence analysis for optimal unbiased sampling strategy L Wang, YX Guo, T Lin, X Tang arXiv preprint arXiv:2205.13925, 2022 | 11 | 2022 |
| Delta: Diverse client sampling for fasting federated learning L Wang, YX Guo, T Lin, X Tang Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Fedeba+: Towards fair and effective federated learning via entropy-based model L Wang, Z Wang, X Tang arXiv preprint arXiv:2301.12407, 2023 | 5 | 2023 |
| FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems L Wang, Z Wang, X Leng, X Tang 2023 59th Annual Allerton Conference on Communication, Control, and …, 2023 | 1 | 2023 |
| Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning L Wang, Y Chen, Y Guo, X Tang arXiv preprint arXiv:2407.04460, 2024 | | 2024 |
| Save It All: Enabling Full Parameter Tuning for Federated Large Language Models via Cycle Black Gradient Descent L Wang, Z Wang, X Tang arXiv preprint arXiv:2406.11187, 2024 | | 2024 |
| Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing Y Guo, L Wang, X Tang, T Lin arXiv preprint arXiv:2405.16233, 2024 | | 2024 |
