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Bill Lin

Federated Learning Client Pruning for Noisy Labels

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Nov 11, 2024
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Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration

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Sep 27, 2024
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MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

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May 29, 2024
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Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data

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May 13, 2024
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On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations

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Feb 29, 2024
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Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive MIMO

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Feb 13, 2024
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A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design

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Jul 28, 2023
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When Do Curricula Work in Federated Learning?

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Dec 24, 2022
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Neural Routing in Meta Learning

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Oct 14, 2022
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Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks

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Sep 30, 2022
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