Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus | ScienceToStartup | ScienceToStartup

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References (11)

[1]

Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach

2025Chaouki Ben Issaid, Praneeth Vepakomma et al.

[2]

Quantized FedPD (QFedPD): Beyond Conventional Wisdom—The Energy Benefits of Frequent Communication

2025Anis Elgabli, Chaouki Ben Issaid et al.

[3]

Multimodal Federated Learning: A Survey

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"A framework for efficient and robust multi-modal federated learning that aligns latent representations across diverse client data and models."

Federated Learning•Score: 5•View PDF ↗

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Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus

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References (11)

Founder's Pitch

"A framework for efficient and robust multi-modal federated learning that aligns latent representations across diverse client data and models."

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Communication-Efficient and Robust Multi-Modal Federated Learning via Latent-Space Consensus

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References (11)

Founder's Pitch

"A framework for efficient and robust multi-modal federated learning that aligns latent representations across diverse client data and models."

Commercial Viability Breakdown

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