FEDERATED LEARNING WITH PARTITIONED AND DYNAMICALLY-SHUFFLED MODEL UPDATES

Techniques for distributed federated learning leverage a multi-layered defense strategy to provide for reduced information leakage. In lieu of aggregating model updates centrally, an aggregation function is decentralized into multiple independent and functionally-equivalent execution entities, each...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jamjoom, Hani Talal, Eykholt, Kevin, Radhakrishnan, Jayaram Kallapalayam, Valdez, Enriquillo, Cheng, Pau-Chen, Verma, Ashish, Gu, Zhongshu
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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