Kleomenis Katevas
Kleomenis Katevas
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Cited by
Cited by
A hybrid deep learning architecture for privacy-preserving mobile analytics
SA Osia, AS Shamsabadi, A Taheri, K Katevas, S Sajadmanesh, ...
arXiv preprint arXiv:1703.02952, 2017
Beyond interruptibility: Predicting opportune moments to engage mobile phone users
M Pielot, B Cardoso, K Katevas, J Serrà, A Matic, N Oliver
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017
Deep private-feature extraction
SA Osia, A Taheri, AS Shamsabadi, K Katevas, H Haddadi, HRR Rabiee
IEEE Transactions on Knowledge and Data Engineering, 2018
Robot Comedy Lab: experimenting with the social dynamics of live performance
K Katevas, PGT Healey, MT Harris
Frontiers in psychology 6, 1253, 2015
Darknetz: towards model privacy at the edge using trusted execution environments
F Mo, AS Shamsabadi, K Katevas, S Demetriou, I Leontiadis, A Cavallaro, ...
Proceedings of the 18th International Conference on Mobile Systems …, 2020
Sensingkit: Evaluating the sensor power consumption in iOS devices
K Katevas, H Haddadi, L Tokarchuk
Intelligent Environments (IE), 2016 12th International Conference on, 222-225, 2016
Poster: SensingKit – A Multi-Platform Mobile Sensing Framework for Large-Scale Experiments
K Katevas, H Haddadi, L Tokarchuk
Proceedings of the 20th Annual International Conference on Mobile Computing …, 2014
Typical phone use habits: Intense use does not predict negative well-being
K Katevas, I Arapakis, M Pielot
Proceedings of the 20th International Conference on Human-Computer …, 2018
Robot Stand-up: Engineering a Comic Performance
K Katevas, PGT Healey, MT Harris
IEEE-RAS International Conference on Humanoid Robots (Humanoids 2014 …, 2014
PPFL: privacy-preserving federated learning with trusted execution environments
F Mo, H Haddadi, K Katevas, E Marin, D Perino, N Kourtellis
arXiv preprint arXiv:2104.14380, 2021
Effective patient–clinician interaction to improve treatment outcomes for patients with psychosis: a mixed-methods design
S Priebe, E Golden, D Kingdon, S Omer, S Walsh, K Katevas, P McCrone, ...
Programme Grants for Applied Research 5 (6), 2017
Practical processing of mobile sensor data for continual deep learning predictions
K Katevas, I Leontiadis, M Pielot, J Serrà
Proceedings of the 1st International Workshop on Deep Learning for mobile …, 2017
Finding dory in the crowd: Detecting social interactions using multi-modal mobile sensing
K Katevas, K Hänsel, R Clegg, I Leontiadis, H Haddadi, L Tokarchuk
Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor …, 2019
Privacy-preserving deep inference for rich user data on the cloud
SA Osia, AS Shamsabadi, A Taheri, K Katevas, HR Rabiee, ND Lane, ...
arXiv preprint arXiv:1710.01727, 2017
FLaaS: Federated learning as a service
N Kourtellis, K Katevas, D Perino
Proceedings of the 1st Workshop on Distributed Machine Learning, 7-13, 2020
Detecting group formations using iBeacon technology
K Katevas, H Haddadi, L Tokarchuk, RG Clegg
Proceedings of the 2016 ACM International Joint Conference on Pervasive and …, 2016
Walking in Sync: Two is Company, Three’s a Crowd
K Katevas, H Haddadi, L Tokarchuk, RG Clegg
BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices
M Varvello, K Katevas, M Plesa, H Haddadi, B Livshits
Proceedings of the 18th ACM Workshop on Hot Topics in Networks, 101-108, 2019
Towards characterizing and limiting information exposure in DNN layers
F Mo, AS Shamsabadi, K Katevas, A Cavallaro, H Haddadi
arXiv preprint arXiv:1907.06034, 2019
The potential of wearable technology for monitoring social interactions based on interpersonal synchrony
K Hänsel, K Katevas, G Orgs, DC Richardson, A Alomainy, H Haddadi
Proceedings of the 4th ACM Workshop on Wearable Systems and Applications, 45-47, 2018
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