A two-stage FL aggregation method with proxy models for heterogeneous LEO networks extends contact windows and achieves 86.59-90.57% accuracy with 1.5-2.2x faster convergence than baselines.
Fedspace: An efficient federated learning framework at satellites and ground stations
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CAE generates feasible hybrid execution plans for satellite workloads in under two seconds by building orbital models, placing compute to minimize transfers, inserting adaptive FEC, and scheduling under power and contact constraints.
EarthSight reduces average compute time per image by 1.9x and 90th-percentile end-to-end latency from 51 to 21 minutes by distributing inference decisions between orbit and ground with shared backbones and early rejection filters.
Equinox uses a barrier-function-derived marginal cost to enable value-based adaptive scheduling and neighbor offloading in energy-constrained satellite constellations, yielding 20-31% throughput gains and higher battery reserves in simulation.
citing papers explorer
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Topology-Aware Two-Stage Federated Learning via Proxy Models for Sub-THz Heterogeneous LEO Communications
A two-stage FL aggregation method with proxy models for heterogeneous LEO networks extends contact windows and achieves 86.59-90.57% accuracy with 1.5-2.2x faster convergence than baselines.
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Constraint-Aware Execution Planning for Hybrid Space-Ground Compute Workloads
CAE generates feasible hybrid execution plans for satellite workloads in under two seconds by building orbital models, placing compute to minimize transfers, inserting adaptive FEC, and scheduling under power and contact constraints.
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EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence
EarthSight reduces average compute time per image by 1.9x and 90th-percentile end-to-end latency from 51 to 21 minutes by distributing inference decisions between orbit and ground with shared backbones and early rejection filters.
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Equinox: Decentralized Scheduling for Hardware-Aware Orbital Intelligence
Equinox uses a barrier-function-derived marginal cost to enable value-based adaptive scheduling and neighbor offloading in energy-constrained satellite constellations, yielding 20-31% throughput gains and higher battery reserves in simulation.