Stefanos Laskaridis
Stefanos Laskaridis
Research Scientist @ Samsung AI Center Cambridge
Verified email at - Homepage
Cited by
Cited by
SPINN: synergistic progressive inference of neural networks over device and cloud
S Laskaridis, SI Venieris, M Almeida, I Leontiadis, ND Lane
Proceedings of the 26th annual international conference on mobile computing …, 2020
EmBench: Quantifying performance variations of deep neural networks across modern commodity devices
M Almeida, S Laskaridis, I Leontiadis, SI Venieris, ND Lane
The 3rd international workshop on deep learning for mobile systems and …, 2019
Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout
S Horvath, S Laskaridis, M Almeida, I Leontiadis, S Venieris, N Lane
Advances in Neural Information Processing Systems 34, 12876-12889, 2021
HAPI: Hardware-aware progressive inference
S Laskaridis, SI Venieris, H Kim, ND Lane
2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2020
Shrinkml: End-to-end asr model compression using reinforcement learning
Ł Dudziak, MS Abdelfattah, R Vipperla, S Laskaridis, ND Lane
INTERSPEECH 2019, 2019
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
S Laskaridis, A Kouris, ND Lane
Proceedings of the 5th International Workshop on Embedded and Mobile Deep …, 2021
It's always personal: Using early exits for efficient on-device CNN personalisation
I Leontiadis, S Laskaridis, SI Venieris, ND Lane
Proceedings of the 22nd International Workshop on Mobile Computing Systems …, 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
M Almeida, S Laskaridis, A Mehrotra, L Dudziak, I Leontiadis, ND Lane
Proceedings of the 21st ACM Internet Measurement Conference, 658-672, 2021
Dyno: Dynamic onloading of deep neural networks from cloud to device
M Almeida, S Laskaridis, SI Venieris, I Leontiadis, ND Lane
ACM Transactions on Embedded Computing Systems (TECS), 2021
Multi-Exit Semantic Segmentation Networks
A Kouris, SI Venieris, S Laskaridis, ND Lane
arXiv preprint arXiv:2106.03527, 2021
Adaptable mobile vision systems through multi-exit neural networks
A Kouris, SI Venieris, S Laskaridis, ND Lane
Proceedings of the 20th Annual International Conference on Mobile Systems …, 2022
FedorAS: Federated Architecture Search under system heterogeneity
L Dudziak, S Laskaridis, J Fernandez-Marques
arXiv preprint arXiv:2206.11239, 2022
Method and system for neural network execution distribution
M Almeida, S Laskaridis, S Venieris, I Leontiadis
US Patent App. 17/420,259, 2022
DistributedML 2021
S Laskaridis, M Almeida, J Crowcroft, C Zhang, O Simeone
DistributedML 2021-Proceedings of the 2nd ACM International Workshop on …, 2021
Federated mobile sensing for activity recognition
S Laskaridis, D Spathis, M Almeida
Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021
Method and system for implementing a variable accuracy neural network
S Laskaridis, H Kim, S Venieris
US Patent App. 16/923,447, 2021
Tape SCSI monitoring and encryption at CERN
S Laskaridis, D Kruse, E Cano, S Murray, J Leduc, V Bahyl, G Cancio
J. Phys.: Conf. Ser. 898, 062005, 2017
Journal: Proceedings of the 26th Annual International Conference on Mobile Computing and Networking, 2020
S Laskaridis, SI Venieris, M Almeida, I Leontiadis, ND Lane
Adaptive Inference through Early-Exit Networks
S Laskaridis, A Kouris, ND Lane
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