Work

Federated Learning for Privacy-Preserving Deep Learning in IoT Networks FedProx Optimization and Its Impact on Heterogeneity and Efficiency

Year: 2026

Type: book-chapter

Source: Advances in computational intelligence and robotics book series

DOI: 10.4018/979-8-3373-8187-9.ch011

Authors: Vijaykumar Mamidala, Rama Krishna Mani Kanta Yalla, Mohanarangan Veerapperumal Devarajan, Akhil Raj Gaius Yallamelli, Thirusubramanian Ganesan, Abderrahim Bouchair

Institutions: Amazon (United States), Ernst & Young (United States), Cognizant (United States), Cognizant (India), Université Oran 1 Ahmed Ben Bella

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7140596533

FWCI:

Cites: 24

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Related to: 10