13 citations · 31 across the 13 of their papers we have counts for
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cs.LG2026
SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System
Seyed Salar Ghazi, Kaiwen Zhang, Mehdi feizi +1
Hierarchical Federated Learning (HFL) enables scalable collaborative model training across distributed devices while preserving data privacy. However, existing HFL client selection…
cs.LG2024★ 3 cited
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
Michael Duchesne, Kaiwen Zhang, Chamseddine Talhi
Federated Learning (FL) has emerged as a prominent privacy-preserving technique for enabling use cases like confidential clinical machine learning. FL operates by aggregating model…