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Akhil Mathur
Akhil Mathur
Meta AI
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Flower: A Friendly Federated Learning Research Framework
DJ Beutel, T Topal, A Mathur, X Qiu, T Parcollet, P P. B. de Gusmão, ...
arXiv preprint arXiv:2007.14390, 2020
5822020
Squeezing deep learning into mobile and embedded devices
ND Lane, S Bhattacharya, A Mathur, P Georgiev, C Forlivesi, F Kawsar
IEEE Pervasive Computing 16 (3), 82-88, 2017
2272017
Deepeye: Resource efficient local execution of multiple deep vision models using wearable commodity hardware
A Mathur, ND Lane, S Bhattacharya, A Boran, C Forlivesi, F Kawsar
Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017
1612017
Improving literacy in rural India: Cellphone games in an after-school program
M Kam, A Kumar, S Jain, A Mathur, J Canny
2009 International Conference on Information and Communication Technologies …, 2009
1502009
Earables for personal-scale behavior analytics
F Kawsar, C Min, A Mathur, A Montanari
IEEE Pervasive Computing 17 (3), 83-89, 2018
1312018
Designing digital games for rural children: a study of traditional village games in India
M Kam, A Mathur, A Kumar, J Canny
Proceedings of the 27th international conference on Human factors in …, 2009
1302009
Designing e-learning games for rural children in India: a format for balancing learning with fun
M Kam, A Agarwal, A Kumar, S Lal, A Mathur, A Tewari, J Canny
Proceedings of the 7th ACM conference on Designing interactive systems, 58-67, 2008
1232008
A systematic study of unsupervised domain adaptation for robust human-activity recognition
Y Chang, A Mathur, A Isopoussu, J Song, F Kawsar
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020
942020
Tiny habits in the giant enterprise: understanding the dynamics of a quantified workplace
A Mathur, M Van den Broeck, G Vanderhulst, A Mashhadi, F Kawsar
Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015
722015
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices
A Mathur, T Zhang, S Bhattacharya, P Velickovic, L Joffe, ND Lane, ...
2018 17th ACM/IEEE International Conference on Information Processing in …, 2018
712018
Engagement-aware computing: Modelling user engagement from mobile contexts
A Mathur, ND Lane, F Kawsar
Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016
622016
Resource characterisation of personal-scale sensing models on edge accelerators
M Antonini, TH Vu, C Min, A Montanari, A Mathur, F Kawsar
Proceedings of the First International Workshop on Challenges in Artificial …, 2019
582019
Mic2mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems
A Mathur, A Isopoussu, F Kawsar, N Berthouze, ND Lane
Proceedings of the 18th international conference on information processing …, 2019
582019
The myth of subtle notifications
A Mashhadi, A Mathur, F Kawsar
Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014
572014
Collossl: Collaborative self-supervised learning for human activity recognition
Y Jain, CI Tang, C Min, F Kawsar, A Mathur
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022
532022
A first look into the carbon footprint of federated learning
X Qiu, T Parcollet, J Fernandez-Marques, PPB Gusmao, Y Gao, DJ Beutel, ...
Journal of Machine Learning Research 24 (129), 1-23, 2023
492023
DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit.
ND Lane, S Bhattacharya, A Mathur, C Forlivesi, F Kawsar
MobiCASE, 98-107, 2016
462016
Exploring audio and kinetic sensing on earable devices
C Min, A Mathur, F Kawsar
Proceedings of the 4th ACM Workshop on Wearable Systems and Applications, 5-10, 2018
452018
Recurrent network based automatic detection of chronic pain protective behavior using mocap and semg data
C Wang, TA Olugbade, A Mathur, AC De C. Williams, ND Lane, ...
Proceedings of the 2019 ACM International Symposium on Wearable Computers …, 2019
402019
On-device federated learning with flower
A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ...
arXiv preprint arXiv:2104.03042, 2021
352021
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