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ORCIDNicholas D. Lane
- > Home > Persons > Nicholas D. Lane
Publications
- 2024
[c144]Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane:
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. ICML 2024- [i94]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 abs/2405.14791 (2024) - [i90]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 abs/2407.00031 (2024) - 2023
- [j37]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: 129:1-129:23 (2023) - [j34]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): 92:1-92:31 (2023) - [i83]Javier Fernández-Marqués, Ahmed F. AbouElhamayed, Nicholas D. Lane, Mohamed S. Abdelfattah:
Are We There Yet? Product Quantization and its Hardware Acceleration. CoRR abs/2305.18334 (2023) - [i81]Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane:
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR abs/2306.17453 (2023) - [i77]Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane:
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. CoRR abs/2307.13412 (2023) - [i74]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 abs/2311.18451 (2023) - 2022
- [c129]Filip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane:
Deep learning on microcontrollers: a study on deployment costs and challenges. EuroMLSys@EuroSys 2022: 54-63 - [c128]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: 1-6 - [c127]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: 7227-7231 - [c125]Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. ICLR 2022 - [c122]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH 2022: 3809-3813 - [c118]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. SLT 2022: 115-122 - [i72]Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane:
Federated Self-supervised Speech Representations: Are We There Yet? CoRR abs/2204.02804 (2022) - [i69]Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane:
Protea: Client Profiling within Federated Systems using Flower. CoRR abs/2207.01053 (2022) - [i67]Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. CoRR abs/2208.02507 (2022) - [i64]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 abs/2209.15575 (2022) - 2021
- [c113]Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane:
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. FCCM 2021: 165-175 - [c109]Shyam Anil Tailor, Javier Fernández-Marqués, Nicholas Donald Lane:
Degree-Quant: Quantization-Aware Training for Graph Neural Networks. ICLR 2021 - [i55]Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane:
A first look into the carbon footprint of federated learning. CoRR abs/2102.07627 (2021) - [i53]Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane:
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. CoRR abs/2103.05600 (2021) - [i51]Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane:
On-device Federated Learning with Flower. CoRR abs/2104.03042 (2021) - [i49]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 abs/2104.14297 (2021) - 2020
- [i20]Shyam A. Tailor, Javier Fernández-Marqués, Nicholas D. Lane:
Degree-Quant: Quantization-Aware Training for Graph Neural Networks. CoRR abs/2008.05000 (2020) - 2019
- [c82]Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal:
An Empirical study of Binary Neural Networks' Optimisation. ICLR (Poster) 2019 - 2018
- [c74]Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane:
Deterministic Binary Filters for Convolutional Neural Networks. IJCAI 2018: 2739-2747 - [c71]Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane:
On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices. EMDL@MobiSys 2018: 13-18 - [c69]Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane:
Deterministic binary filters for keyword spotting applications. MobiSys 2018: 529
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