Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training | ScienceToStartup | ScienceToStartup

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References (40)

[1]

PairingFL: Efficient Federated Learning With Model Splitting and Client Pairing

2025Zhiwei Yao, Ji Qi et al.

[2]

Minimization of the Training Makespan in Hybrid Federated Split Learning

2025Joana Tirana, Dimitra Tsigkari et al.

[3]

Collaborative Split Federated Learning with Parallel Training and Aggregation

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"Optimize split federated learning architectures for improved accuracy, reduced delay, and lower communication overhead."

Federated Learning•Score: 7•View PDF ↗

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Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training

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References (40)

Founder's Pitch

"Optimize split federated learning architectures for improved accuracy, reduced delay, and lower communication overhead."

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Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training

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References (40)

Founder's Pitch

"Optimize split federated learning architectures for improved accuracy, reduced delay, and lower communication overhead."

Commercial Viability Breakdown

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