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Scientific Articles

Title Authors Venues Link
Unikraft: fast, specialized unikernels the easy way Simon Kuenzer, Vlad-Andrei Bădoiu, Hugo Lefeuvre, Sharan Santhanam, Alexander Jung, Gaulthier Gain, Cyril Soldani, Costin Lupu, Stefan Teodorescu, Costi Răducanu, Cristian Banu, Laurent Mathy, Răzvan Deaconescu, Costin Raiciu, Felipe Huici EuroSys ’21: Proceedings of the Sixteenth European Conference on Computer Systems https://dl.acm.org/doi/10.1145/3447786.3456248
Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision Ioannis Korontanis, Konstantinos Tserpes, Maria Pateraki, Lorenzo Blasi, John Violos, Ferran Diego, Eduard Marin, Nicolas Kourtellis, Massimo Coppola, Emanuele Carlini, Zbyszek Ledwoń, Przemysław Tarkowski, Thomas Loven, Yago González Rozas, Mike Kentros, Michael Dodis, Patrizio Dazzi FRAME ’21: Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge https://dl.acm.org/doi/10.1145/3452369.3463816
ITU-T Standardization Activities Targeting Gaming Quality of Experience Schmidt, Steven; Zadtootaghaj, Saman; Möller, Sebastian ACM SIGMM Records https://records.sigmm.org/2021/03/24/itu-t-standardization-activities-targeting-gaming-quality-of-experience/
NDNetGaming – Development of a No-Reference Deep CNN for Gaming Video Quality Prediction Markus Utke, Saman Zadtootaghaj, Steven Schmidt, Sebastian Bosse; Sebastian Möller Journal of Multimedia Tools and Applications, Springer Netherlands https://link.springer.com/article/10.1007/s11042-020-09144-6
Toward using Reinforcement Learning for trigger selection in Network Slice Mobility, Rami Akrem Addad; Diego Leonel Cadette Dutra; Tarik Taleb; Hannu Flinck IEEE Journal on Selected Areas in Communications https://doi.org/10.1109/JSAC.2021.3078501
AI-based network-aware Service Function Chain migration in 5G and beyond networks Rami Akrem Addad; Diego Leonel Cadette Dutra; Tarik Taleb; Hannu Flinck IEEE Transactions on Network and Service Management https://doi.org/10.1109/TNSM.2021.3074618
Federated Learning in Mobile Edge Networks: A Comprehensive Survey Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao IEEE Communications Surveys & Tutorials ( Volume: 22, Issue: 3, thirdquarter 2020) https://ieeexplore.ieee.org/document/9060868
Bias-Aware Loss for Training Image and Speech Quality Prediction Models from Multiple Datasets Gabriel Mittag, Saman Zadtootaghaj, Thilo Michael, Babak Naderi, Sebastian Möller   https://arxiv.org/abs/2104.10217
Towards the Impact of Gamers Strategy and User Inputs on the Delay Sensitivity of Cloud Games Saeed Shafiee Sabet, Steven Schmidt, Saman Zadtootaghaj, Carsten Griwodz, Sebastian Moller 12th International Conference on Quality of Multimedia Experience (QoMEX) https://doi.org/10.1109/QoMEX48832.2020.9123138
MAGES 3.0: Tying the knot of medical VR George Papagiannakis, Paul Zikas, Nick Lydatakis, Steve Kateros, Mike Kentros, Efstratios Geronikolakis, Manos Kamarianakis, Ioanna Kartsonaki, Giannis Evangelou SIGGRAPH ’20: ACM SIGGRAPH 2020 Immersive Pavilion, August 2020, Article No: 6, Pages 1-2 https://doi.org/10.1145/3388536.3407888
Covid-19 – VR Strikes Back: innovative medical VR training Paul Zikas, Manos Kamarianakis, Ioanna Kartsonaki, Nick Lydatakis, Steve Kateros, Mike Kentros, Efstratios Geronikolakis, Giannis Evangelou, Achilles Apostolou, Paolo Alejandro Alejandro Catilo, George Papagiannakis SIGGRAPH ’21: ACM SIGGRAPH 2021 Immersive PavilionAugust 2021 Article No.: 11Pages 1–2 https://doi.org/10.1145/3450615.3464546
Scenior: An Immersive Visual Scripting system based on VR Software Design Patterns for Experiential Training Paul Zikas, George Papagiannakis, Nick Lydatakis, Steve Kateros, Stavroula Ntoa, Ilia Adami, Constantine Stephanidis The Visual Computer International Journal of Computer GraphicsVolume 36, issue 10-12, October 2020 CGI’2020 Conference https://link.springer.com/article/10.1007/s00371-020-01919-0
Never ‘Drop the Ball’ in the Operating Room: An Efficient Hand-Based VR HMD Controller Interpolation Algorithm, for Collaborative, Networked Virtual Environments Manos Kamarianakis, Nick Lydatakis, George Papagiannakis Advances in Computer Graphics. CGI 2021. Lecture Notes in Computer Science, vol 13002. Springer, Cham. https://doi.org/10.1007/978-3-030-89029-2_52
A survey on privacy for B5G/6G: New privacy challenges, and research directions Chamara Sandeepa, Bartlomiej Siniarski, Nicolas Kourtellis, Shen Wang, Madhusanka Liyanage Journal of Industrial Information Integration https://www.sciencedirect.com/science/article/abs/pii/S2452414X22000723
YouTubers Not madeForKids: Detecting Channels Sharing Inappropriate Videos Targeting Children Myrsini Gkolemi, Panagiotis Papadopoulos, Evangelos Markatos, Nicolas Kourtellis WebSci’22 https://dl.acm.org/doi/10.1145/3501247.3531556
Leveraging Google’s Publisher-Specific IDs to Detect Website Administration Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis WWW’22 https://dl.acm.org/doi/10.1145/3485447.3512124
PPFL: Enhancing Privacy in Federated Learning with Confidential Computing Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis GetMobile: Mobile Computing and Communications https://dl.acm.org/doi/abs/10.1145/3529706.3529715
Measuring the (Over)use of Service Workers for In-Page Push Advertising Purposes George Pantelakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos International Conference on Passive and Active Network Measurement https://link.springer.com/chapter/10.1007/978-3-030-98785-5_19
FLaaS – practical federated learning as a service for mobile applications Kleomenis Katevas, Diego Perino, Nicolas Kourtellis HotMobile ’22 https://dl.acm.org/doi/pdf/10.1145/3508396.3517074
YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris, Evangelos P. Markatos, Nicolas Kourtellis Proceedings of the ACM on Measurement and Analysis of Computing Systems https://dl.acm.org/doi/10.1145/3491044
PPFL: privacy-preserving federated learning with trusted execution environments Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis Mobisys’21 https://dl.acm.org/doi/10.1145/3458864.3466628
MAGES 4.0: Accelerating the world’s transition to VR training and democratizing the authoring of the medical metaverse Paul Zikas, Antonis Protopsaltis, Nick Lydatakis, Mike Kentros, Stratos Geronikolakis, Steve Kateros, Manos Kamarianakis, Giannis Evangelou, Achilleas Filippidis, Eleni Grigoriou, Dimitris Angelis, Michail Tamiolakis, Michael Dodis, George Kokiadis, John Petropoulos, Maria Pateraki and George Papagiannakis IEEE Computer Graphics and Applications https://doi.org/ 10.1109/MCG.2023.3242686
XR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine Learning: Foundational Vision, Technologies and Challenges Christos Liaskos, Ageliki Tsioliaridou, Konstantinos Georgopoulos, Ioannis Morianos, Sotiris Ioannidis, Iosif Salem, Dionyssios Manessis, Stefan Schmid, Dimitrios Tyrovolas, Sotiris A. Tegos, Prodromos-Vasileios Mekikis, Panagiotis D. Diamantoulakis, and Pitilakis, Nikolaos V. Kantartzis, George K. Karagiannidis, Anna C. Tasolamprou, Odysseas Tsilipakos, Maria Kafesaki, Ian F. Akyildiz, Andreas Pitsillides, Maria Pateraki, Michael Vakalellis, and Ilias Spais IEEE Access https://doi.org/10.1109/ACCESS.2022.3219871
Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study Theodoros Theodoropoulos, Antonios Makris, Ioannis Kontopoulos, John Violos, Przemysław Tarkowski, Zbyszek Ledwoń, Patrizio Dazzi, Konstantinos Tserpes International Journal of Information Management Data Insights https://doi.org/10.1016/j.jjimei.2023.100158
Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction T Theodoropoulos, J Violos, S Tsanakas, A Leivadeas, K Tserpes, T. Varvarigou ITU’s Journal on Future and Evolving Technologies https://arxiv.org/abs/2302.05336
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora Varvarigou Computer Networks https://doi.org/10.1016/j.comnet.2022.109339

Conference Publications

Title Authors Venue Link
FlexOS: Making Isolation Flexible Hugo Lefeuvre, Vlad-Andrei Bădoiu , Stefan Teodorescu, Pierre Olivier, Tiberiu, Răzvan Deaconescu, Felipe Huici, Costin Raiciu HotOS ’21: Proceedings of the Workshop on Hot Topics in Operating Systems https://dl.acm.org/doi/10.1145/3458336.3465292
FlexOS: Towards Flexible OS Isolation Huici et al ASPLOS ’22: Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems https://dl.acm.org/doi/10.1145/3503222.3507759
Quality enhancement of gaming content using generative adversarial networks Avanaki, Nasim Jamshidi TU Berlin, Germany ; Zadtootaghaj, Saman; Barman, Nabajeet; Schmidt, Steven; Martini, Maria Garcia; Möller, Sebastian 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX) https://zenodo.org/record/5176120
Assessing Interactive Gaming Quality of Experience Using a Crowdsourcing Approach Schmidt, Steven; Naderi, Babak; Sabet, Saeed Shafiee; Zadtootaghaj, Saman; Möller, Sebastian 2021 Twelfth International Conference on Quality of Multimedia Experience (QoMEX) https://zenodo.org/record/5175925
Quality estimation models for gaming video streaming services using perceptual video quality dimensions Zadtootaghaj, Saman; Schmidt, Steven; Sabet, Saeed Shafiee; Möller, Sebastian; Griwodz, Carsten MMSys ’20: 11th ACM Multimedia Systems Conference https://zenodo.org/record/5175995
DEMI: Deep Video Quality Estimation Model using Perceptual Video Quality Dimensions Zadtootaghaj, Saman; Barman, Nabajeet; Rao, Rakesh Rao Ramachandra; Göring, Steve; Martini, Maria Garcia; Raake, Alexander; Möller, Sebastian 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP) https://zenodo.org/record/5175968
Towards the Influence of Audio Quality on Gaming Quality of Experience Schmidt, Steven; Zadtootaghaj, Saman, Wang, Shijie; Möller, Sebastian 2021 13th International Conference on Quality of Multimedia Experience (QoMEX) https://zenodo.org/record/5176127
Modeling and Understanding the Quality of Experience of Online Mobile Gaming Services Schmidt, Steven; Zadtootaghaj, Saman; Sabet, Saeed Shafiee; Möller, Sebastian 2021 13th International Conference on Quality of Multimedia Experience (QoMEX) https://zenodo.org/record/5176027
Secure and Practical Defense for Long-term Network Topology Obfuscation J. Kim, E. Marin, M. Conti and S. Shin. The Network and Distributed System Security (NDSS) Symposium 2022 Not yet available
Privacy-preserving artificial intelligence for future networks D. Perino, K. Katevas, A. Lutu, E. Marin, N. Kourtellis. CACM Europe Special Section 2022 Not yet available
Exploring Content Moderation in the Decentralised Web: The Pleroma Case Anaobi Ishaku Hassan, Aravindh Raman, Ignacio Castro, Haris Bin Zia, Emiliano De Cristofaro, Nishanth Sastry and Gareth Tyson Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies (ACM CoNext 2021) https://arxiv.org/abs/2110.13500
YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris, Evangelos P. Markatos, Nicolas Kourtellis Sigmetrics ’21: ACM Meas. Anal. Comput. Syst., December 2021 https://arxiv.org/abs/1907.10331
The Rise and Fall of Fake News sites: A Traffic Analysis Manolis Chalkiadakis, Alexandros Kornilakis, Panagiotis Papadopoulos, Evangelos Markatos, Nicolas Kourtellis 13th ACM Web Science Conference 2021 https://arxiv.org/abs/2103.09258
Differential Tracking Across Topical Webpages of Indian News Media Yash Vekaria, Vibhor Agarwal, Pushkal Agarwal, Sangeeta Mahapatra, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis 13th ACM Web Science Conference 2021 https://arxiv.org/abs/2103.04442
PPFL: privacy-preserving federated learning with trusted execution environments Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis The 19th ACM International Conference on Mobile Systems, Applications, and Services. ACM MobiSys 2021 https://arxiv.org/abs/2104.14380
User tracking in the post-cookie era: How websites bypass gdpr consent to track users Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P Markatos WWW ’21: Proceedings of the Web Conference 2021 https://arxiv.org/abs/2102.08779
Under the Spotlight: Web Tracking in Indian Partisan News Websites Vibhor Agarwal, Yash Vekaria, Pushkal Agarwal, Sangeeta Mahapatra, Shounak Set, Sakthi Balan Muthiah, Nishanth Sastry, Nicolas Kourtellis AAAI ICWSM-2021 – 15TH INTERNATIONAL CONFERENCE ON WEB AND SOCIAL MEDIA https://arxiv.org/abs/2102.03656
Flaas: Federated learning as a service Nicolas Kourtellis, Kleomenis Katevas, Diego Perino 1st Workshop on Distributed Machine Learning, co-located with CoNEXT 2020 https://arxiv.org/abs/2011.09359
Not one but many tradeoffs: Privacy vs. utility in differentially private machine learning Benjamin Zi Hao Zhao, Mohamed Ali Kaafar, Nicolas Kourtellis CCSW 2020: The ACM Cloud Computing Security Workshop https://arxiv.org/abs/2008.08807
Stop tracking me bro! differential tracking of user demographics on hyper-partisan websites Pushkal Agarwal, Sagar Joglekar, Panagiotis Papadopoulos, Nishanth Sastry, Nicolas Kourtellis WWW ’20: Proceedings of The Web Conference 2020 https://arxiv.org/abs/2002.00934
Next Position Prediction using LSTM Neural Networks J Violos, S Tsanakas, M Androutsopoulou, G Palaiokrassas, T Varvarigou 11th EETN CONFERENCE ON ARTIFICIAL INTELLIGENCE https://dl.acm.org/doi/abs/10.1145/3411408.3411426
Using LSTM Neural Networks as Resource Utilization Predictors: The case of training Deep Learning models on the Edge John Violos, Evangelos Psomakelis, Dimitrios Danopoulos, Stylianos Tsanakas, Theodora Varvarigou 17th International Conference on the Economics of Grids, Clouds, Systems, and Services GENCON 2020 https://link.springer.com/chapter/10.1007/978-3-030-63058-4_6
Predicting Resource Usage in Edge Computing Infrastructures with CNN and a Hybrid Bayesian Particle Swarm Hyper-parameter Optimization Model J Violos, T Pagoulatou, S Tsanakas, K Tserpes, T Varvarigou Computing Conference 2021
 Springer Intelligent Computng
https://link.springer.com/chapter/10.1007/978-3-030-80126-7_40
Hypertuning GRU Neural Networks for Edge Resource Usage Prediction John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Konstantinos Tserpes   proceedings not public available yet
Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models Joan Serrà, David Álvarez, Vicenç Gómez, Olga Slizovskaia, José F. Núñez, Jordi Luque 8th International Conference on Learning Representations ICLR 2020 https://arxiv.org/abs/1909.11480
A Large-scale Evaluation of the bitstream-based video-quality model ITU-T P.1204.3 on Gaming Content Rakesh Rao Ramachandra Rao, Steve Göring, Robert Steger, Saman Zadtootaghaj, Nabajeet Barman, Stephan Fremerey, Sebastian Möller, Alexander Raake 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP) https://doi.org/10.1109/MMSP48831.2020.9287055
Delay Sensitivity Classification of Cloud Gaming Content Saeed Shafiee Sabet, Steven Schmidt, Saman Zadtootaghaj, Carsten Griwodz, Sebastian Moller MMVE ’20: Proceedings of the 12th ACM International Workshop on Immersive Mixed and Virtual Environment Systems https://doi.org/10.1145/3386293.3397116
A latency compensation technique based on game characteristics to mitigate the influence of delay on cloud gaming quality of experience Saeed Shafiee Sabet, Steven Schmidt, Saman Zadtootaghaj, Babak Naderi, Carsten Griwodz, Sebastian Möller MMSys ’20: Proceedings of the 11th ACM Multimedia Systems Conference https://doi.org/10.1145/3339825.3391855
Latency Preserving Self-optimizing Placement at the Edge Luca Ferrucci, Matteo Mordacchini, Massimo Coppola, Emanuele Carlini, Hanna Kavalionak, Patrizio Dazzi FRAME ’21: Proceedings of the 1st Workshop on Flexible Resource and Application Management on the Edge https://doi.org/10.1145/3452369.3463815
Impact of Network Topology on the Convergence of Decentralized Federated Learning Systems Hanna Kavalionak, Emanuele Carlini, Patrizio Dazzi, Luca Ferrucci, Matteo Mordacchini, Massimo Coppola IEEE ISCC 2021 Proceedings 10.1109/ISCC53001.2021.9631460
Self- organizing Energy-minimization Placement of QoE-constrained Services at the Edge Matteo Mordacchini Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Luca Ferrucci, Hanna Kavalionak GECON 2021 Proceedings 10.1007/978-3-030-92916-9_11
Network Measurements with Function-as-a-Service for Distributed Low-latency Edge Applications Emanuele Carlini, Hanna Kavalionak, Patrizio Dazzi, Luca Ferrucci, Massimo Coppola, Matteo Mordacchini FRAME ’22: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge. Colocated with HPDC 2022 10.1145/3526059.3533622
A Mathematical Model for Latency Constrained Self-Organizing Application Placement in the Edge Matteo Mordacchini, Patrizio Dazzi, Emanuele Carlini FRAME ’22: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge. Colocated with HPDC 2022 10.1145/3526059.3533622
A Minicloud Specification Enabling the Federation of Heterogeneous Edge Resources for Latency Sensitive Applications’ Requirements Konstantinos Tserpes, Andrea Toro, Lorenzo Blasi, Marco Di Girolamo FRAME ’22: Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge. Colocated with HPDC 2022 10.1145/3526059.3533622
An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures Theodoros Theodoropoulos, Antonios Makris, John Violos, Konstantinos Tserpes Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge (FRAME ’22). Association for Computing Machinery, New York, NY, USA, 19–24 https://doi.org/10.1145/3526059.3533623
Towards a Distributed Storage Framework for Edge Computing Infrastructures Antonios Makris, Evangelos Psomakelis, Theodoros Theodoropoulos, Konstantinos Tserpes Proceedings of the 2nd Workshop on Flexible Resource and Application Management on the Edge (FRAME ’22). Association for Computing Machinery, New York, NY, USA, 9–14 https://doi.org/10.1145/3526059.3533617
Relay-based network architectures for Collaborative Virtual Reality Applications Fadia Hasnaoui, Lamia Zohra Mihoubi, Maria Pateraki and Miloud Bagaa IEEE Globecom 2022 Conference https://doi.org/10.1109/GLOBECOM48099.2022.10001187
Near-optimal Cloud-Network Integrated Resource Allocation for Latency-Sensitive B5G Masoud Shokrnezhad and Tarik Taleb IEEE GLOBECOM 2022 conference https://ieeexplore.ieee.org/document/10001109
      https://www.ndss-symposium.org/ndss-paper/assessing-the-impact-of-interface-vulnerabilities-in-compartmentalized-software/
Recording and replaying psychomotor user actions in VR Manos Kamarianakis, Ilias Chrysovergis, Mike Kentros, George Papagiannakis ACM SIGGRAPH 2022 https://doi.org/10.1145/3532719.3543253
Want more unikernels?: inflate them! Gaulthier Gain, Cyril Soldani, Felipe Huici, Laurent Mathy ACM SoCC 2022 https://dl.acm.org/doi/abs/10.1145/3542929.3563473
FlexOS: Towards Flexible OS Isolation Lefeuvre, H., Bădoiu, V-A., Jung, A., Teodorescu, S., Rauch, S., Huici, F., Raiciu, C., Olivier, P., ACM ASPLOS 2022 https://arxiv.org/pdf/2112.06566.pdf
Assessing the Impact of Interface Vulnerabilities in Compartmentalized Software Hugo Lefeuvre, Vlad-Andrei Bădoiu, Yi Chen, Felipe Huici, Nathan Dautenhahn, Pierre Olivier NDSS 2023 https://www.ndss-symposium.org/wp-content/uploads/2023/02/ndss2023_f117_paper.pdf
Innovation Potential of the ACCORDION Platform Emanuele Carlini, Patrizio Dazzi, Konstantinos Tserpes, Lorenzo Blasi, Marco Di Girolamo, Dariusz Dober FRAME 2023 (SUBMITTED) https://frame2023.hotcrp.com/paper/38?cap=hcav38TBFcgYsggXiDnBPjLYjrUShA
Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing T. Theodoropoulos, D. Kafetzis, J. Violos, A. Makris, K. Tserpes FRAME 2023  
Real-time Monitoring and Analysis of Edge and Cloud Resources I. Korontanis, A. Makris, T. Theodoropoulos, K. Tserpes FRAME 2023  
Self-organizing Energy-Minimization Placement of QoE-Constrained Services at the Edge Matteo Mordacchini, Luca Ferrucci, Emanuele Carlini, Hanna Kavalionak, Massimo Coppola & Patrizio Dazzi International Conference on the Economics of Grids, Clouds, Systems, and Services  

Other Publications

Title Authors Venues Link
Transition from monolithic to microservice-based applications. Challenges from the developer perspective Makris A, Tserpes K and Varvarigou T. Open Res Europe 2022, 2:24 https://doi.org/10.12688/openreseurope.14505.1
FLaaS – enabling practical federated learning on mobile environments Kleomenis Katevas, Diego Perino, Nicolas Kourtellis Mobisys’22 https://dl.acm.org/doi/abs/10.1145/3498361.3539693