Ahmed M. Abdelmoniem

A Comprehensive Empirical Study of Heterogeneity in Federated Learning

2023 · IEEE Internet of Things Journal

Federated learning (FL) is becoming a popular paradigm for collaborative learning over distributed, private data sets owned by nontrusting entities. FL has seen successful deployment in production environments, and it has been adopted in services, …

Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense

2024 · arXiv (Cornell University)

Federated Learning (FL) is a distributed machine learning diagram that enables multiple clients to collaboratively train a global model without sharing their private local data. However, FL systems are vulnerable to attacks that are happening …