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SatDL: Jointly Optimizing Data Redistribution and Training for Satellite-Based Distributed Learning
Satellite-based distributed learning promises to train machine-learning models directly in orbit using massive, globally dispersed sensor data, thereby avoiding large-scale data downloads to ground servers. However, training convergence is significantly slowed by severe non-IID data, specifically la
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