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Kai Yi

Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning

Jun 03, 2024
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Prune at the Clients, Not the Server: Accelerated Sparse Training in Federated Learning

May 31, 2024
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PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression

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May 23, 2024
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FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity

Apr 15, 2024
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DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model

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Mar 20, 2024
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FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models

Mar 14, 2024
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Continual Zero-Shot Learning through Semantically Guided Generative Random Walks

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Aug 23, 2023
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Graph Denoising Diffusion for Inverse Protein Folding

Jun 29, 2023
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Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning

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May 22, 2023
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Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks

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Apr 13, 2023
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