FWFA: Fairness-Weighted Federated Aggregation for Privacy-Aware Decision Intelligence

Ensuring fairness in automated decision-making is a critical challenge, especially in organizational contexts like recruitment, performance evaluation, and promotion. As machine learning (ML) and artificial intelligence (AI) increasingly influence such decisions, promoting responsible AI that minimi...

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Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Rahul Haripriya, Nilay Khare, Manish Pandey, Shrijal Patel, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	IEEE 2025-01-01
Rangatū:	IEEE Access
Ngā marau:	Federated learning responsible AI decision making machine learning data mining collaborative AI
Urunga tuihono:	https://ieeexplore.ieee.org/document/11075742/
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

FWFA: Fairness-Weighted Federated Aggregation for Privacy-Aware Decision Intelligence

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