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Federated Learning for Inference at Anytime and Anywhere


Dec 08, 2022
Zicheng Liu, Da Li, Javier Fernandez-Marques, Stefanos Laskaridis, Yan Gao, Łukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy Hospedales

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* 14 pages, 3 figures 

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Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio


Oct 03, 2022
Yan Gao, Javier Fernandez-Marques, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane

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ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity


Aug 04, 2022
Xinchi Qiu, Javier Fernandez-Marques, Pedro PB Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane

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* International Conference on Learning Representations, 2022 
* Published as a conference paper at ICLR 2022 

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Protea: Client Profiling within Federated Systems using Flower


Jul 03, 2022
Wanru Zhao, Xinchi Qiu, Javier Fernandez-Marques, Pedro P. B. de Gusmão, Nicholas D. Lane

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FedorAS: Federated Architecture Search under system heterogeneity


Jun 23, 2022
Lukasz Dudziak, Stefanos Laskaridis, Javier Fernandez-Marques

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Federated Self-supervised Speech Representations: Are We There Yet?


Apr 06, 2022
Yan Gao, Javier Fernandez-Marques, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane

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End-to-End Speech Recognition from Federated Acoustic Models


Apr 29, 2021
Yan Gao, Titouan Parcollet, Javier Fernandez-Marques, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane

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On-device Federated Learning with Flower


Apr 07, 2021
Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernandez-Marques, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane

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* On-device Intelligence Workshop at the Fourth Conference on Machine Learning and Systems (MLSys), April 9, 2021 
* Accepted at the 2nd On-device Intelligence Workshop @ MLSys 2021. arXiv admin note: substantial text overlap with arXiv:2007.14390 

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unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation


Apr 03, 2021
Stylianos I. Venieris, Javier Fernandez-Marques, Nicholas D. Lane

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* Accepted at the 29th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM) 2021 

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