Work

FedDecay: Balancing Model Performance and Rapid Personalization in Federated Learning with Learning Rate Scheduling

Year: 2026

Type: article

Source: Journal of Computational and Graphical Statistics

DOI: 10.1080/10618600.2026.2696264

Authors: Joseph Lavond, Minhao Cheng, Yao Li

Institutions: University of North Carolina at Chapel Hill, Pennsylvania State University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Division of Mathematical Sciences

Awards: FRG: Collaborative Research: Mathematical and Statistical Analysis of Compressible Data on Compressive Networks, G2656087402, RTG: Networks: Foundations in Probability, Optimization, and Data Sciences, G8692059520

OpenAlex ID: W7166517239

FWCI:

Cites: 17

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