FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study

arXiv:2609.00875 · cs.AI, cs.DC, cs.ET, cs.LG · Submitted 2026-09-01 · Read on arXiv

cs.AI, cs.DC, cs.ET, cs.LG

Submitted: 2026-09-01

Updated: 2026-09-01

Terminology

• Aggregation — 35× in this paper · explained in 1 episode
• AUROC — 29× in this paper · explained in 2 episodes
• Federated Learning — 15× in this paper · explained in 15 episodes
• Sparsity — 11× in this paper · explained in 4 episodes
• Adaptation — 7× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Robustness — 6× in this paper · explained in 5 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Decentralized Federated Learning — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Data Heterogeneity — 1× in this paper · explained in 3 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Federated Learning (FL) — 1× in this paper · explained in 7 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Non-IID Data — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• FractalNet: Ultra-Deep Neural Networks without Residuals

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