| Harms from increasingly agentic algorithmic systems A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ... Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 87* | 2023 |
| Graph attention based proposal 3d convnets for action detection J Li, X Liu, Z Zong, W Zhao, M Zhang, J Song Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4626-4633, 2020 | 51 | 2020 |
| Protea: Client profiling within federated systems using flower W Zhao, X Qiu, J Fernandez-Marques, PPB de Gusmão, ND Lane Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning …, 2022 | 14 | 2022 |
| Hand-by-hand mentor: An AR based training system for piano performance R Guo, J Cui, W Zhao, S Li, A Hao 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and …, 2021 | 13 | 2021 |
| Secure Vertical Federated Learning Under Unreliable Connectivity X Qiu, H Pan, W Zhao, Y Gao, PPB Gusmao, WF Shen, C Ma, ND Lane arXiv preprint arXiv:2305.16794, 2023 | 12* | 2023 |
| Breaking physical and linguistic borders: Multilingual federated prompt tuning for low-resource languages W Zhao, Y Chen, R Lee, X Qiu, Y Gao, H Fan, ND Lane The Twelfth International Conference on Learning Representations, 2024 | 10 | 2024 |
| AI and AR based interface for piano training R Guo, J Cui, W Zhao, S Li 2020 International Conference on Virtual Reality and Visualization (ICVRV …, 2020 | 9 | 2020 |
| MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models Z Zeng, Y Liu, Y Wan, J Li, P Chen, J Dai, Y Yao, R Xu, Z Qi, W Zhao, ... arXiv preprint arXiv:2406.13975, 2024 | 5 | 2024 |
| The Future of Large Language Model Pre-training is Federated L Sani, A Iacob, Z Cao, B Marino, Y Gao, T Paulik, W Zhao, WF Shen, ... arXiv preprint arXiv:2405.10853, 2024 | 3 | 2024 |
| Attacks on Third-Party APIs of Large Language Models W Zhao, V Khazanchi, H Xing, X He, Q Xu, ND Lane arXiv preprint arXiv:2404.16891, 2024 | 3 | 2024 |
| Enhancing Data Quality in Federated Fine-Tuning of Large Language Models W Zhao, Y Du, ND Lane, S Chen, Y Wang ICLR 2024 Workshop on Navigating and Addressing Data Problems for Foundation …, 0 | 2* | |
| FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients X Qiu, Y Gao, L Sani, H Pan, W Zhao, PPB Gusmao, M Alibeigi, A Iacob, ... arXiv preprint arXiv:2402.10191, 2024 | 1 | 2024 |
| High-throughput Simulation of Federated Learning via Resource-Aware Client Placement L Sani, PPB de Gusmão, A Iacob, W Zhao, X Qiu, Y Gao, ... arXiv preprint arXiv:2306.17453, 2023 | 1 | 2023 |
| Photon: Federated LLM Pre-Training L Sani, A Iacob, Z Cao, R Lee, B Marino, Y Gao, D Cai, Z Li, W Zhao, ... arXiv preprint arXiv:2411.02908, 2024 | | 2024 |
| Data Quality Control in Federated Instruction-tuning of Large Language Models Y Du, R Ye, F Yuchi, W Zhao, J Qu, Y Wang, S Chen arXiv preprint arXiv:2410.11540, 2024 | | 2024 |
| CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics W Zhao, H Fan, SX Hu, W Zhou, ND Lane The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
| FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss X Qiu, Y Gao, L Sani, H Pan, W Zhao, PPB de Gusmao, ND Lane | | |
| Protea: Client Resource Profiling Engine for Federated Systems W Zhao, X Qiu, J Fernandez-Marques, PPB de Gusmao, ND Lane | | |
| Pollen: High-throughput Simulation of Federated Learning via Resource-Aware Client Placement L Sani, PPB Gusmao, A Iacob, W Zhao, X Qiu, Y Gao, ... | | |
Nicholas LaneUniversity of Cambridge and Flower LabsVerified email at cam.ac.uk
