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cs.LG2025
Benchmarking Mutual Information-based Loss Functions in Federated Learning
Sarang S, Harsh D. Chothani, Qilei Li +2
Federated Learning (FL) has attracted considerable interest due to growing privacy concerns and regulations like the General Data Protection Regulation (GDPR), which stresses the i…
cs.LG2025
Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments
Wai Fong Tam, Qilei Li, Ahmed M. Abdelmonie
Federated learning enables collaborative model training across distributed entities while maintaining individual data privacy. A key challenge in federated learning is balancing th…
cs.LG2024★ 1 cited
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense
Qilei Li, Ahmed M. Abdelmoniem
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. Ho…