SPLITTING NEURAL NETWORKS ON MULTIPLE EDGE DEVICES TO TRAIN ON VERTICALLY DISTRIBUTED DATA

SPLITTING NEURAL NETWORKS ON MULTIPLE EDGE DEVICES TO TRAIN ON VERTICALLY DISTRIBUTED DATA

One example method includes a pipeline for a distributed neural network. The pipeline includes a first phase that identifies intersecting identifiers across datasets of multiple clients in a privacy preserving manner. The second phase includes a distributed neural network that includes a data receiv...

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Bibliographische Detailangaben
Hauptverfasser: Abouzeid, Mohamed, Diaa, AbdulRahman, Mohamed, Osama Taha
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Beschreibung
Zusammenfassung:One example method includes a pipeline for a distributed neural network. The pipeline includes a first phase that identifies intersecting identifiers across datasets of multiple clients in a privacy preserving manner. The second phase includes a distributed neural network that includes a data receiving portion at each of the clients and an orchestrator portion at an orchestrator. The data receiving portions and the orchestrator portions communicate forward and backward passes to perform training without revealing the raw training data.