crossrefJournal of Intelligent Decision Making and Information Science2026-07-23
Optimization Stability in Federated Learning under Non-IID Data: A Comparative Study of FedAvg and FedProx with Deep Convolutional Neural Network Architectures
Gitanjali Bhimrao Yadav, Jayashree Bagade
Federated learning (FL) has emerged as a prospective model training paradigm for distributed clients, which provides data privacy while maintaining the ability to train a collaborative model.In healthcare, finance and edge intelligence applications, federated learning (FL) is a p…