Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2024-12-02
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
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article

Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique

SPIRE - Sciences Po Institutional REpository
Privacy-Preserving Technologies in Data
article

Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Laboratoire des signaux et systèmes (FR)
Partnerships for the goals
Openalex Percentile: Top 55%
Privacy-Preserving Technologies in Data
Open Access PDFOpenAlex
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Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS