Giza Systems Research Paper “FedForecaster: An Automated Federated Learning Approach for Time-series Forecasting” Makes It to EDBT 2025 Conference in Barcelona!
Mohamed Maher, AI Systems Development Section Head, presented Giza Systems’ research paper, “FedForecaster: An Automated Federated Learning Approach for Time-Series Forecasting” at the 2025 EDBT Conference in Barcelona.
Thanks to the efforts of Mohamed Maher, Osama Fayez Oun, Product Development ML Engineer, and Mahmoud Saeed Mesmeh, Product Development ML Engineer; Giza Systems research paper made it to the conference and was received with a strong turnout and genuine interest from the attendees.
Read the full paper here: https://gizasystems.com/storage/publications/FedForecaster_EDBT_2025.pdf-1743068549.pdf
