2 papers
cs.LG2026
FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
Eman M. AbouNassar, Amr Elshall, Sameh Abdulah
Federated learning (FL) enables a set of distributed clients to jointly train machine learning models while preserving their local data privacy, making it attractive for applicatio…
cs.DB2025
A Novel Approach to Translate Structural Aggregation Queries to MapReduce Code
Ahmed M. Abdelmoniem, Sameh Abdulah, Walid Atwa
Data management applications are growing and require more attention, especially in the "big data" era. Thus, supporting such applications with novel and efficient algorithms that a…