BlockFLA
Harsh Desai, Mustafa Safa Özdayi, Murat Kantarcıoğlu
Abstract
Federated Learning (FL) is a distributed, and decentralized machine learning protocol. By executing FL, a set of agents can jointly train a model without sharing their datasets with each other, or a third-party. This makes FL particularly suitable for settings where data privacy is desired.
Topics & Concepts
Computer scienceProtocol (science)Federated learningSet (abstract data type)Artificial intelligenceDistributed computingProgramming languageMedicineAlternative medicinePathologyPrivacy-Preserving Technologies in DataBlockchain Technology Applications and SecurityCryptography and Data Security