RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale
Phivos Dadamis, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
Category: Research Highlights
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
Fault Tolerance Enhancements for Redundancy Conversion with Diagonally Interleaved Coding, EDCC 2026
Ioannis Tzouros, Vana Kalogeraki
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