Privacy Preserving Time-Series Forecasting of User Health Data Streams S Imtiaz, SF Horchidan, Z Abbas, M Arsalan, HN Chaudhry, V Vlassov IEEE International Conference on Big Data, 2020, 2020 | 17 | 2020 |
Evaluating model serving strategies over streaming data S Horchidan, E Kritharakis, V Kalavri, P Carbone 🏆 Data Management for End-to-End Machine Learning @ ACM SIGMOD, 1-5, 2022 | 5 | 2022 |
GCNSplit: Bounding the State of Streaming Graph Partitioning M Zwolak, Z Abbas, S Horchidan, P Carbone, V Kalavri Exploiting Artificial Intelligence Techniques for Data (aiDM @ ACM SIGMOD'22), 2022 | 3 | 2022 |
Real-time forecasting of dietary habits and user health using federated learning with privacy guarantees SF Horchidan | 3 | 2020 |
Query Optimization for Inference-Based Graph Databases S Horchidan 🏆 VLDB 2023 PhD Workshop, co-located with the 49th International Conference …, 2023 | 1 | 2023 |
Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems S Horchidan, PH Chen, E Kritharakis, P Carbone, V Kalavri 27th International Conference on Extending Database Technology (EDBT), 2024 | | 2024 |
ORB: Empowering Graph Queries through Inference S Horchidan, P Carbone 1st International Workshop on Data Management for Knowledge Graphs (DMKG), 2023 | | 2023 |