18683541. ENHANCEMENT OF TRAINING NODE SELECTION FOR TRUSTWORTHY FEDERATED LEARNING (Nokia Technologies Oy)

ENHANCEMENT OF TRAINING NODE SELECTION FOR TRUSTWORTHY FEDERATED LEARNING

Organization Name

Nokia Technologies Oy

Inventor(s)

Tejas Subramanya of Munich DE

Prajwal Keshavamurthy of Munich DE

ENHANCEMENT OF TRAINING NODE SELECTION FOR TRUSTWORTHY FEDERATED LEARNING

This abstract first appeared for US patent application 18683541 titled 'ENHANCEMENT OF TRAINING NODE SELECTION FOR TRUSTWORTHY FEDERATED LEARNING

Original Abstract Submitted

There are provided measures for enhancement of training node selection for trustworthy federated learning. Such measures exemplarily comprise, at a first network entity coordinating artificial intelligence or machine learning contributor selection in a network, receiving, respectively from a first and a second of a plurality of second network entities managing artificial intelligence or machine learning trustworthiness in artificial intelligence or machine learning pipelines in said network, a first/second artificial intelligence or machine learning contributor selection conflict resolution request including a first/second federated learning distributed node candidate list including at least one first/second federated learning distributed node in said network, wherein each of said at least one first/second federated learning distributed node has trustworthiness capabilities satisfying first/second artificial intelligence or machine learning trustworthiness requirement criteria and is associated with a respective rank in said first/second federated learning distributed node candidate list, transmitting, respectively towards said first and said second of said plurality of second network entities, a first/second artificial intelligence or machine learning contributor selection conflict resolution response including an updated first/second federated learning distributed node candidate list removing a conflict between said first federated learning distributed node candidate list and said second federated learning distributed node candidate list.