| 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 | 123 | 2020 |
| 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 | 67 | 2021 |
| RILAnalyzer: a comprehensive 3G monitor on your phone N Vallina-Rodriguez, A Auçinas, M Almeida, Y Grunenberger, ... Proceedings of the 2013 conference on Internet measurement conference, 257-264, 2013 | 63 | 2013 |
| EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices M Almeida, S Laskaridis, I Leontiadis, SI Venieris, ND Lane 2019 3rd International Workshop on Embedded and Mobile Deep Learning (EMDL …, 2019 | 62 | 2019 |
| Stweeler: A Framework for Twitter Bot Analysis Z Gilani, M Almeida, R Farahbakhsh, L Wang, J Crowcroft Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 59 | 2016 |
| A family of droids-android malware detection via behavioral modeling: Static vs dynamic analysis L Onwuzurike, M Almeida, E Mariconti, J Blackburn, G Stringhini, ... 2018 16th Annual Conference on Privacy, Security and Trust (PST), 1-10, 2018 | 57* | 2018 |
| Dissecting DNS Stakeholders in Mobile Networks M Almeida, A Finamore, D Perino, N Vallina-Rodriguez, M Varvello Proceedings of the 13th International Conference on Emerging Networking …, 2017 | 39 | 2017 |
| Chimp: Crowdsourcing Human Inputs for Mobile Phones M Almeida, M Bilal, A Finamore, I Leontiadis, Y Grunenberger, M Varvello, ... Proceedings of the 2018 World Wide Web Conference, 45-54, 2018 | 32 | 2018 |
| 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 | 16 | 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 21 (6), 1-24, 2022 | 13 | 2022 |
| An empirical study of android alarm usage for application scheduling M Almeida, M Bilal, J Blackburn, K Papagiannaki Passive and Active Measurement: 17th International Conference, PAM 2016 …, 2016 | 9 | 2016 |
| C3po: Computation congestion control (proactive) L Wang, M Almeida, J Blackburn, J Crowcroft Proceedings of the 3rd ACM Conference on Information-Centric Networking, 231-236, 2016 | 6 | 2016 |
| Method and system for neural network execution distribution M Almeida, S Laskaridis, S Venieris, I Leontiadis US Patent App. 17/420,259, 2022 | 1 | 2022 |
| Federated mobile sensing for activity recognition S Laskaridis, D Spathis, M Almeida Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 1 | 2021 |
| NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution SI Venieris, M Almeida, R Lee, ND Lane IEEE Transactions on Mobile Computing, 2023 | | 2023 |
| Method, system and apparatus for federated learning S Laskaridis, S Horvath, M Almeida, I Leontiadis, SI Venieris US Patent App. 17/586,178, 2022 | | 2022 |
| DistributedML 2021: Chairs' Welcome Message S Laskaridis, M Almeida, J Crowcroft, C Zhang, O Simeone DistributedML'21: Proceedings of the 2nd ACM International Workshop on …, 2021 | | 2021 |
| Diffusing Your Mobile Apps: Extending In-Network Function Virtualization to Mobile Function Offloading M Almeida, L Wang, J Blackburn, K Papagiannaki, J Crowcroft arXiv preprint arXiv:1906.06240, 2019 | | 2019 |
| Elastic phone: towards detecting and mitigating computation and energy inefficiencies in mobile apps M Almeida Universitat Politècnica de Catalunya, 2018 | | 2018 |
Stefanos LaskaridisResearcher @ BraveVerified email at brave.com
