ORBITALIF: An Efficient Spiking Federated Learning Framework for Onboard Cloud Removal

arXiv:2608.24073 · cs.NE, cs.AI, cs.CV, cs.DC · Submitted 2026-08-25 · Read on arXiv

cs.NE, cs.AI, cs.CV, cs.DC

Submitted: 2026-08-25

Updated: 2026-08-25

Terminology

Federated Learning — 11× in this paper · explained in 15 episodes
Aggregation — 8× in this paper · explained in 1 episode
Decentralized Federated Learning — 4× in this paper · explained in 2 episodes
Spectral-Spatial Hybrid Attention Module — 4× in this paper
Accuracy — 3× in this paper · explained in 1 episode
Adaptive Gated Fusion Module — 3× in this paper
Spiking neural networks — 3× in this paper · explained in 2 episodes
Ablation — 2× in this paper · explained in 1 episode
Sparsity — 2× in this paper · explained in 4 episodes
Activation Function — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Data Fusion — 1× in this paper · explained in 3 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Generalization — 1× in this paper · explained in 13 episodes
Non-IID Data — 1× in this paper · explained in 2 episodes
Physical Constraints — 1× in this paper · explained in 7 episodes
Reconstruction Error — 1× in this paper · explained in 2 episodes
Regularization — 1× in this paper · explained in 3 episodes
Spectral Signature — 1× in this paper · explained in 2 episodes
Spiking Neural Networks (SNNs) — 1× in this paper · explained in 3 episodes
Transformer — 1× in this paper · explained in 2 episodes

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