most citedHybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification

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cs.LG2026

EcoFair: Energy-Efficient Inference Routing for Edge AI under Data Degradation

Mostafa Anoosha, Dhavalkumar Thakker, Kuniko Paxton +4

Medical edge-AI systems must operate under a difficult tension: delivering reliable diagnostic inference while running on devices with limited battery capacity, memory, and compute…

cs.LG2025★ 1 cited

HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification

Mostafa Anoosha, Zeinab Dehghani, Kuniko Paxton +2

Vertical Federated Learning (VFL) offers a privacy-preserving paradigm for Edge AI scenarios like mobile health diagnostics, where sensitive multimodal data reside on distributed,…