Lane, Nicholas D.

19 publications

ICLR 2026 Cascadia: An Efficient Cascade Serving System for Large Language Models Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Jintao Zhang, Nicholas D. Lane, Binhang Yuan

ICLR 2026 DES-LOC: Desynced Low Communication Adaptive Optimizers for Foundation Models Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane

ICLR 2026 MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates Alex Iacob, Andrej Jovanovic, Mher Safaryan, Meghdad Kurmanji, Lorenzo Sani, Samuel Horváth, William F. Shen, Xinchi Qiu, Nicholas D. Lane

ICLR 2026 Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods Wanru Zhao, Yihong Chen, Yuzhi Tang, Wentao Ma, Shengchao Hu, Shell Xu Hu, Alex Iacob, Abhinav Mehrotra, Nicholas D. Lane

NeurIPS 2025 FLUX: Efficient Descriptor-Driven Clustered Federated Learning Under Arbitrary Distribution Shifts Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski

NeurIPS 2025 FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models Yan Gao, Massimo Roberto Scamarcia, Javier Fernandez-Marques, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, InSeo Song, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel Janes Beutel, Lingjuan Lyu, Nicholas D. Lane

NeurIPS 2025 LLM Unlearning via Neural Activation Redirection William F. Shen, Xinchi Qiu, Meghdad Kurmanji, Alex Iacob, Lorenzo Sani, Yihong Chen, Nicola Cancedda, Nicholas D. Lane

NeurIPS 2025 Position: Bridge the Gaps Between Machine Unlearning and AI Regulation Bill Marino, Meghdad Kurmanji, Nicholas D. Lane

NeurIPS 2024 CLUES: Collaborative Private-Domain High-Quality Data Selection for LLMs via Training Dynamics Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Bofan Chen, Nicholas D. Lane

WACV 2024 Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation Royson Lee, Rui Li, Stylianos Venieris, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane

JMLR 2023 A First Look into the Carbon Footprint of Federated Learning Xinchi Qiu, Titouan Parcollet, Javier Fernandez-Marques, Pedro P. B. Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane

ICCV 2023 L-DAWA: Layer-Wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmao, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane

AAAI 2023 Zero-Cost Operation Scoring in Differentiable Architecture Search Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen

ICCVW 2021 Temporal Kernel Consistency for Blind Video Super-Resolution Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen

ECCV 2020 Journey Towards Tiny Perceptual Super-Resolution Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane

ICLR 2019 An Empirical Study of Binary Neural Networks' Optimisation Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal

IJCAI 2018 Deterministic Binary Filters for Convolutional Neural Networks Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane

AAAI 2012 Towards Population Scale Activity Recognition: A Framework for Handling Data Diversity Saeed Abdullah, Nicholas D. Lane, Tanzeem Choudhury

AAAI 2010 Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell