Lane, Nicholas Donald

21 publications

ICLR 2025 DEPT: Decoupled Embeddings for Pre-Training Language Models Alex Iacob, Lorenzo Sani, Meghdad Kurmanji, William F. Shen, Xinchi Qiu, Dongqi Cai, Yan Gao, Nicholas Donald Lane

ICLR 2025 SparsyFed: Sparse Adaptive Federated Learning Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas Donald Lane

ICLRW 2024 Attacks on Third-Party APIs of Large Language Models Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane

ICLR 2024 Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane

NeurIPSW 2024 Compliance Cards: Automated EU AI Act Compliance Analyses Amidst a Complex AI Supply Chain Bill Marino, Yaqub Chaudhary, Yulu Pi, Rui-Jie Yew, Preslav Aleksandrov, Carwyn Rahman, William F. Shen, Isaac Robinson, Nicholas Donald Lane

ICLRW 2024 Enhancing Data Quality in Federated Fine-Tuning of Large Language Models Wanru Zhao, Yaxin Du, Nicholas Donald Lane, Siheng Chen, Yanfeng Wang

ICML 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients Royson Lee, Javier Fernandez-Marques, Shell Xu Hu, Da Li, Stefanos Laskaridis, Łukasz Dudziak, Timothy Hospedales, Ferenc Huszár, Nicholas Donald Lane

NeurIPSW 2024 The Future of Large Language Model Pre-Training Is Federated Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomas Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas Donald Lane

ICML 2024 TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon, Rui Li, Stylianos Venieris, Jagmohan Chauhan, Nicholas Donald Lane, Cecilia Mascolo

ICML 2024 Towards Neural Architecture Search Through Hierarchical Generative Modeling Lichuan Xiang, Łukasz Dudziak, Mohamed S Abdelfattah, Abhinav Mehrotra, Nicholas Donald Lane, Hongkai Wen

NeurIPSW 2024 Worldwide Federated Training of Language Models Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, William F. Shen, Nicholas Donald Lane

NeurIPSW 2023 Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane

NeurIPSW 2023 FDAPT: Federated Domain-Adaptive Pre-Training for Language Models Lekang Jiang, Filip Svoboda, Nicholas Donald Lane

ICLRW 2023 Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas Donald Lane, Nadia Berthouze

ICLR 2022 Conditioning Sequence-to-Sequence Networks with Learned Activations Alberto Gil Couto Pimentel Ramos, Abhinav Mehrotra, Nicholas Donald Lane, Sourav Bhattacharya

ICLR 2022 Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor, Felix Opolka, Pietro Lio, Nicholas Donald Lane

ICLR 2022 Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients Milad Alizadeh, Shyam A. Tailor, Luisa M Zintgraf, Joost van Amersfoort, Sebastian Farquhar, Nicholas Donald Lane, Yarin Gal

ICLR 2022 ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity Xinchi Qiu, Javier Fernandez-Marques, Pedro PB Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane

ICLR 2021 Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam Anil Tailor, Javier Fernandez-Marques, Nicholas Donald Lane

ICLR 2021 NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition Abhinav Mehrotra, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Łukasz Dudziak, Ravichander Vipperla, Thomas Chau, Mohamed S Abdelfattah, Samin Ishtiaq, Nicholas Donald Lane

ICLR 2021 Zero-Cost Proxies for Lightweight NAS Mohamed S Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak, Nicholas Donald Lane