RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale
Phivos Dadamis, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
Category: News
AutoFairML: An Automated Middleware for Fairness Auditing in Real-world AI Pipelines, ICDCS 2025
Dimitrios Tomaras, Vana Kalogeraki, Christos Varytimidis, Evangelos Anagnostopoulos, Rahul Nair, Elizabeth M. Daly, Jakub Marecek and Dimitrios Gunopulos Link
Best Poster Award in European Conference on Computer Systems (EuroSys) 2024
Michail Tsenos and Aristotelis Peri on their joint work with their advisor, Prof. Vana Kalogeraki, received the “Best Poster Award” in the European Conference on Computer Systems (EuroSys 2024) for the work Energy-Aware Scheduling for Serverless Computing
Dynamic storage selection for mitigating tail latency in serverless pipelines, ACSOS, 2024
Michail Tsenos, Aristotelis Peri, Vana Kalogeraki Link
STRATA: Random Forests going Serverless, Middleware, 2024
Dimitrios Tomaras, Sebastian Buschjäger, Vana Kalogeraki, Katharina Morik, Dimitrios Gunopulos Link
Exploring GPU-Based Workload Scheduling Techniques for Edge Computing, IC2E, 2025
Michail Tsenos, Vana Kalogeraki Link
Vertical Scaling Can Save Time: Optimizing Container Scheduling to Handle Sudden Bursts, DEBS, 2025
Aristotelis Peri, Michail Tsenos, Vana Kalogeraki Link
Trustworthy Scheduling for Big Data Applications, IEEE Big Data, 2025
Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos Link
IgNITE: Scheduling Pipeline-Parallel DNN Training Jobs on Heterogeneous Infrastructures, DEBS, 2025
Phivos Dadamis, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos Link