Kleomenis Katevas

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 42

Top Topics

Mobile Environments

Privacy Preserving

Top Venues

IEEE Internet Comput.

Publications

Stefanos Laskaridis, Kleomenis Katevas, Lorenzo Minto, Hamed Haddadi
MELTing point: Mobile Evaluation of Language Transformers. CoRR (2024)
Ioannis Arapakis, Panagiotis Papadopoulos, Kleomenis Katevas, Diego Perino
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups. CoRR (2023)
Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Fabián E. Bustamante, Ben Livshits
BatteryLab: A Collaborative Platform for Power Monitoring. CoRR (2022)
Kleomenis Katevas, Diego Perino, Nicolas Kourtellis
FLaaS - enabling practical federated learning on mobile environments. MobiSys (2022)
Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Fabián E. Bustamante, Ben Livshits
BatteryLab: A Collaborative Platform for Power Monitoring - https: //batterylab.dev. PAM (2022)
Kleomenis Katevas, Diego Perino, Nicolas Kourtellis
FLaaS - practical federated learning as a service for mobile applications. HotMobile (2022)
Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. WSDM (2022)
Kleomenis Katevas, Diego Perino, Nicolas Kourtellis
FLaaS: Enabling Practical Federated Learning on Mobile Environments. CoRR (2022)
Mo Zhang, Eduard Marin, David F. Oswald, Vassilis Kostakos, Mark Ryan, Benjamin Tag, Kleomenis Katevas
OOBKey: Key Exchange with Implantable Medical Devices Using Out-Of-Band Channels. IACR Cryptol. ePrint Arch. 2022 (2022)
Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia, Stefano Traverso, Álvaro García-Recuero, Nikolaos Laoutaris, Amir Mehrjoo, Santiago Andrés Azcoitia, Rubén Cuevas Rumín, Kleomenis Katevas, Panagiotis Papadopoulos, Nicolas Kourtellis, Roberto Gonzalez, Xavi Olivares, George-Marios Kalatzantonakis-Jullien
A PIMS Development Kit for New Personal Data Platforms. IEEE Internet Comput. 26 (3) (2022)
Diego Perino, Kleomenis Katevas, Andra Lutu, Eduard Marin, Nicolas Kourtellis
Privacy-preserving AI for future networks. Commun. ACM 65 (4) (2022)
Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis
PPFL: Enhancing Privacy in Federated Learning with Confidential Computing. GetMobile Mob. Comput. Commun. 25 (4) (2021)
Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments. CoRR (2021)
Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis
PPFL: privacy-preserving federated learning with trusted execution environments. MobiSys (2021)
Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. CoRR (2021)
Nicolas Kourtellis, Kleomenis Katevas, Diego Perino
FLaaS: Federated Learning as a Service. CoRR (2020)
Nicolas Kourtellis, Kleomenis Katevas, Diego Perino
FLaaS: Federated Learning as a Service. DistributedML@CoNEXT (2020)
Kleomenis Katevas, Eugene Bagdasaryan, Jason Waterman, Mohamad Mounir Safadieh, Hamed Haddadi, Deborah Estrin
Decentralized Policy-Based Private Analytics. CoRR (2020)
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments. CoRR (2020)
Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee
Deep Private-Feature Extraction. IEEE Trans. Knowl. Data Eng. 32 (1) (2020)
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi
DarkneTZ: towards model privacy at the edge using trusted execution environments. MobiSys (2020)
Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics. IEEE Internet Things J. 7 (5) (2020)
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi
Poster: Towards Characterizing and Limiting Information Exposure in DNN Layers. CCS (2019)
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi
Towards Characterizing and Limiting Information Exposure in DNN Layers. CoRR (2019)
Kleomenis Katevas, Katrin Hänsel, Richard G. Clegg, Ilias Leontiadis, Hamed Haddadi, Laurissa N. Tokarchuk
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing. SenSys-ML (2019)
Matteo Varvello, Kleomenis Katevas, Wei Hang, Mihai Plesa, Hamed Haddadi, Fabián E. Bustamante, Benjamin Livshits
BatteryLab, a distributed power monitoring platform for mobile devices: demo abstract. SenSys (2019)
Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Benjamin Livshits
BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices. CoRR (2019)
Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Benjamin Livshits
BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices. HotNets (2019)
Katrin Hänsel, Kleomenis Katevas, Guido Orgs, Daniel C. Richardson, Akram Alomainy, Hamed Haddadi
The potential of wearable technology for monitoring social interactions based on interpersonal synchrony. WearSys@MobiSys (2018)
Kleomenis Katevas, Ioannis Arapakis, Martin Pielot
Typical phone use habits: intense use does not predict negative well-being. MobileHCI (2018)
Seyed Ali Ossia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee
Deep Private-Feature Extraction. CoRR (2018)
Kleomenis Katevas, Katrin Hänsel, Richard G. Clegg, Ilias Leontiadis, Hamed Haddadi, Laurissa N. Tokarchuk
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing. CoRR (2018)
Kleomenis Katevas, Ioannis Arapakis, Martin Pielot
Typical Phone Use Habits: Intense Use Does Not Predict Negative Well-Being. CoRR (2018)
Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. EMDL@MobiSys (2017)
Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. CoRR (2017)
Martin Pielot, Bruno Cardoso, Kleomenis Katevas, Joan Serrà, Aleksandar Matic, Nuria Oliver
Beyond Interruptibility: Predicting Opportune Moments to Engage Mobile Phone Users. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (3) (2017)
Kleomenis Katevas, Laurissa N. Tokarchuk, Hamed Haddadi, Richard G. Clegg, Muhammad Irfan
Demo: Detecting Group Formations using iBeacon Technology. MobiSys (2017)
Seyed Ali Ossia, Ali Shahin Shamsabadi, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi
Privacy-Preserving Deep Inference for Rich User Data on The Cloud. CoRR (2017)
Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà
Continual Prediction of Notification Attendance with Classical and Deep Network Approaches. CoRR (2017)
Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk
SensingKit: Evaluating the Sensor Power Consumption in iOS Devices. Intelligent Environments (2016)
Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk
SensingKit: Evaluating the Sensor Power Consumption in iOS devices. CoRR (2016)
Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk, Richard G. Clegg
Detecting group formations using iBeacon technology. UbiComp Adjunct (2016)
Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk, Richard G. Clegg
Walking in Sync: Two is Company, Three's a Crowd. WPA@MobiSys (2015)
Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk
Poster: SensingKit: a multi-platform mobile sensing framework for large-scale experiments. MobiCom (2014)