Indra Kumari

Non-IID Data Challenges in Federated Learning for Distributed Systems: A Systematic Review

: Federated learning is a distributed machine learning framework, that enhances privacy and security against malicious behavior, including data poisoning and model poisoning. Nevertheless, federated learning models tend to have worse performance than centralized models, particularly when the data is non-independent and...