Browsing Computer Science & Engineering by Subject "Federated Learning (FL)"
Now showing items 1-2 of 2
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FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
( Elsevier , 2022 , Article)Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ... -
RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC)
( IEEE , 2023 , Article)Federated learning (FL) paradigms aim to amalgamate diverse data properties stored locally at each user, while preserving data privacy through sharing users’ learning experiences and iteratively aggregating their ...