Nicholas D. Lane

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 218

Top Venues

CoRR

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

IPSN

MobiSys

Publications

Xinchi Qiu, Yan Gao, Lorenzo Sani, Heng Pan, Wanru Zhao, Pedro P. B. de Gusmao, Mina Alibeigi, Alex Iacob, Nicholas D. Lane
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients. CoRR (2024)
Bao Nguyen, Lorenzo Sani, Xinchi Qiu, Pietro Liò, Nicholas D. Lane
Sheaf HyperNetworks for Personalized Federated Learning. CoRR (2024)
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. WACV (2024)
Bill Marino, Preslav Aleksandrov, Carwyn Rahman, Yulu Pi, Bill Shen, Rui-jie Yew, Nicholas D. Lane
Compliance Cards: Computational Artifacts for Automated AI Regulation Compliance. CoRR (2024)
Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. IEEE Trans. Mob. Comput. 23 (3) (2024)
Lorenzo Sani, Alex Iacob, Zeyu Cao, Bill Marino, Yan Gao, Tomás Paulik, Wanru Zhao, William F. Shen, Preslav Aleksandrov, Xinchi Qiu, Nicholas D. Lane
The Future of Large Language Model Pre-training is Federated. CoRR (2024)
Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng
Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR (2024)
Xinchi Qiu, William F. Shen, Yihong Chen, Nicola Cancedda, Pontus Stenetorp, Nicholas D. Lane
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs. CoRR (2024)
Anna Vaughan, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, J. Scott Hosking, Richard E. Turner
Aardvark Weather: end-to-end data-driven weather forecasting. CoRR (2024)
Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR (2024)
Herbert Woisetschläger, Alexander Erben, Bill Marino, Shiqiang Wang, Nicholas D. Lane, Ruben Mayer, Hans-Arno Jacobsen
Federated Learning Priorities Under the European Union Artificial Intelligence Act. CoRR (2024)
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
FedL2P: Federated Learning to Personalize. CoRR (2023)
Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems. Computer 56 (3) (2023)
Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Christopher Zach, Mina Alibeigi
Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps. VTC2023-Spring (2023)
Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Efficient Vertical Federated Learning with Secure Aggregation. CoRR (2023)
Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates. CoRR (2023)
Filip Svoboda, Gianluca Mittone, Nicholas D. Lane, Pietro Liò
A Federated Learning Benchmark for Drug-Target Interaction. CoRR (2023)
Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane
FedL2P: Federated Learning to Personalize. NeurIPS (2023)
Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro P. B. de Gusmao, Nicholas D. Lane
vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer. CoRR (2023)
Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Can Fair Federated Learning Reduce the need for Personalisation? EuroMLSys@EuroSys (2023)
Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen
Zero-Cost Operation Scoring in Differentiable Architecture Search. AAAI (2023)
Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. MICRO (2023)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. ACM Trans. Design Autom. Electr. Syst. 28 (6) (2023)
Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud Junaid Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville
Privacy in Multimodal Federated Human Activity Recognition. CoRR (2023)
Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. ICCV (2023)
Alex Iacob, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Can Fair Federated Learning reduce the need for Personalisation? CoRR (2023)
Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió
A Federated Learning Benchmark for Drug-Target Interaction. WWW (Companion Volume) (2023)
Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. CoRR (2023)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. CoRR (2023)
Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
FedVal: Different good or different bad in federated learning. USENIX Security Symposium (2023)
Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. CoRR (2023)
Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane
Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates. EuroMLSys@EuroSys (2023)
Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. CoRR (2023)
Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. 24 (2023)
Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lum Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze
Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth. TML4H (2023)
Javier Fernández-Marques, Ahmed F. AbouElhamayed, Nicholas D. Lane, Mohamed S. Abdelfattah
Are We There Yet? Product Quantization and its Hardware Acceleration. CoRR (2023)
Lekang Jiang, Filip Svoboda, Nicholas D. Lane
FDAPT: Federated Domain-adaptive Pre-training for Language Models. CoRR (2023)
Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, Cecilia Mascolo
TinyTrain: Deep Neural Network Training at the Extreme Edge. CoRR (2023)
Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Mina Alibeigi
FedVal: Different good or different bad in federated learning. CoRR (2023)
Edgar Liberis, Nicholas D. Lane
Differentiable Neural Network Pruning to Enable Smart Applications on Microcontrollers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (4) (2022)
Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Federated Self-supervised Learning for Video Understanding. CoRR (2022)
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. CoRR (2022)
Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR (2022)
Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
End-to-End Speech Recognition from Federated Acoustic Models. ICASSP (2022)
Yan Gaol, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. SLT (2022)
Danyang Li, Jingao Xu, Zheng Yang, Chenshu Wu, Jianbo Li, Nicholas D. Lane
Wireless Localization with Spatial-Temporal Robust Fingerprints. ACM Trans. Sens. Networks 18 (1) (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs. CoRR (2022)
Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane
Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH (2022)
Stefanos Laskaridis, Stylianos I. Venieris, Alexandros Kouris, Rui Li, Nicholas D. Lane
The Future of Consumer Edge-AI Computing. CoRR (2022)
Qingqing Cao, Prerna Khanna, Nicholas D. Lane, Aruna Balasubramanian
MobiVQA: Efficient On-Device Visual Question Answering. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (2) (2022)
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions. ACM Comput. Surv. 54 (8) (2022)
Edgar Liberis, Nicholas D. Lane
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution. CoRR (2022)
Stylianos I. Venieris, Mário Almeida, Royson Lee, Nicholas D. Lane
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution. CoRR (2022)
Stylianos I. Venieris, Christos-Savvas Bouganis, Nicholas D. Lane
Multi-DNN Accelerators for Next-Generation AI Systems. CoRR (2022)
Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane
Federated Self-supervised Speech Representations: Are We There Yet? CoRR (2022)
Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane
Protea: client profiling within federated systems using flower. FedEdge@MobiCom (2022)
Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Federated Self-supervised Learning for Video Understanding. ECCV (31) (2022)
Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Protea: Client Profiling within Federated Systems using Flower. CoRR (2022)
Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Adaptable mobile vision systems through multi-exit neural networks. MobiSys (2022)
Filip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane
Deep learning on microcontrollers: a study on deployment costs and challenges. EuroMLSys@EuroSys (2022)
Thomas Chau, Lukasz Dudziak, Hongkai Wen, Nicholas D. Lane, Mohamed S. Abdelfattah
BLOX: Macro Neural Architecture Search Benchmark and Algorithms. NeurIPS (2022)
Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane
Secure Aggregation for Federated Learning in Flower. CoRR (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Multi-Exit Semantic Segmentation Networks. ECCV (21) (2022)
Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
FRuDA: Framework for Distributed Adversarial Domain Adaptation. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO (2022)
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane
Multi-Exit Semantic Segmentation Networks. CoRR (2021)
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. HotMobile (2021)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. FCCM (2021)
Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild. CoRR (2021)
Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze
AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth. CoRR (2021)
Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen
Zero-Cost Proxies Meet Differentiable Architecture Search. CoRR (2021)
Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. CoRR (2021)
Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (2) (2021)
Mohamed S. Abdelfattah, Abhinav Mehrotra, Lukasz Dudziak, Nicholas D. Lane
Zero-Cost Proxies for Lightweight NAS. CoRR (2021)
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
A Channel Coding Benchmark for Meta-Learning. CoRR (2021)
HyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Gregory D. Abowd, Nicholas D. Lane, Thomas Ploetz
Can You See It?: Good, So We Can Sense It! GetMobile Mob. Comput. Commun. 25 (2) (2021)
Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
Defensive Tensorization. BMVC (2021)
Rui Li, Ondrej Bohdal, Rajesh K. Mishra, Hyeji Kim, Da Li, Nicholas D. Lane, Timothy M. Hospedales
A Channel Coding Benchmark for Meta-Learning. NeurIPS Datasets and Benchmarks (2021)
Samuel Horvath, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. CoRR (2021)
Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. NeurIPS (2021)
Shaoduo Gan, Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane
FRuDA: Framework for Distributed Adversarial Domain Adaptation. CoRR (2021)
Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. EMDL@MobiSys (2021)
Chongyang Wang, Temitayo A. Olugbade, Akhil Mathur, Amanda C. de C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze
Chronic Pain Protective Behavior Detection with Deep Learning. ACM Trans. Comput. Heal. 2 (3) (2021)
Kwing Hei Li, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Nicholas D. Lane
Secure aggregation for federated learning in flower. DistributedML@CoNEXT (2021)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. CoRR (2021)
Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
End-to-End Speech Recognition from Federated Acoustic Models. CoRR (2021)
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. CoRR (2021)
Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane
μNAS: Constrained Neural Architecture Search for Microcontrollers. EuroMLSys@EuroSys (2021)
Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic
Defensive Tensorization. CoRR (2021)
Catherine Tong, Jinchen Ge, Nicholas D. Lane
Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (4) (2021)
Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. CoRR (2021)
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen
Temporal Kernel Consistency for Blind Video Super-Resolution. CoRR (2021)
Yan Gao, Titouan Parcollet, Nicholas D. Lane
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. ASRU (2021)
Emma Rocheteau, Catherine Tong, Petar Velickovic, Nicholas D. Lane, Pietro Liò
Predicting Patient Outcomes with Graph Representation Learning. CoRR (2021)
Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
Smart at what cost?: characterising mobile deep neural networks in the wild. Internet Measurement Conference (2021)
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen
Temporal Kernel Consistency for Blind Video Super-Resolution. ICCVW (2021)
Yu-Lin Wei, Rui Li, Abhinav Mehrotra, Romit Roy Choudhury, Nicholas D. Lane
Inferring Facing Direction from Voice Signals. CoRR (2021)
Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicholas D. Lane