Cleave trains foundation models on heterogeneous edge devices by decomposing GEMM operations to exploit downlink-uplink asymmetry, achieving cloud-comparable speed and scaling to thousands of devices with fast failure recovery.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
On Harnessing Idle Compute at the Edge for Foundation Model Training
Cleave trains foundation models on heterogeneous edge devices by decomposing GEMM operations to exploit downlink-uplink asymmetry, achieving cloud-comparable speed and scaling to thousands of devices with fast failure recovery.