SHEFL: Sparse Heterogeneous Ensemble Federated Learning with Group-Balanced Aggregation

arXiv:2508.08552 · cs.LG, cs.DC · Submitted 2025-08-12 · Read on arXiv

cs.LG, cs.DC

Submitted: 2025-08-12

Updated: 2026-09-25

Terminology

• Accuracy — 25× in this paper · explained in 1 episode
• Federated Learning — 24× in this paper · explained in 14 episodes
• Aggregation — 8× in this paper · explained in 1 episode
• Distillation — 7× in this paper · explained in 2 episodes
• Pruning — 5× in this paper · explained in 4 episodes
• Data Heterogeneity — 3× in this paper · explained in 3 episodes
• Federated Learning (FL) — 3× in this paper · explained in 7 episodes
• Communication Overhead — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Non-IID Data — 2× in this paper · explained in 2 episodes
• Resource Constraints — 2× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

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