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Sheng Sun

Tackling Noisy Clients in Federated Learning with End-to-end Label Correction

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Aug 08, 2024
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Peak-Controlled Logits Poisoning Attack in Federated Distillation

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Jul 25, 2024
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FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning

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May 22, 2024
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Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems

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Apr 27, 2024
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Privacy-Preserving Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems

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Apr 16, 2024
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Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach

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Apr 04, 2024
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Federated Class-Incremental Learning with New-Class Augmented Self-Distillation

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Jan 09, 2024
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Logits Poisoning Attack in Federated Distillation

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Jan 08, 2024
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Improving Communication Efficiency of Federated Distillation via Accumulating Local Updates

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Dec 07, 2023
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Federated Skewed Label Learning with Logits Fusion

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Nov 14, 2023
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