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— Unverified Practical and Private Heterogeneous Federated Learning Sep 29, 2021 Federated Learning Privacy Preserving
— Unverified Practical and Secure Federated Recommendation with Personalized Masks Aug 18, 2021 Federated Learning Recommendation Systems
— Unverified Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Feb 8, 2022 Federated Learning Survival Analysis
— Unverified Practical Insights into Knowledge Distillation for Pre-Trained Models Feb 22, 2024 Federated Learning Knowledge Distillation
— Unverified Practical Locally Private Federated Learning with Communication Efficiency Jan 1, 2021 Federated Learning Privacy Preserving
— Unverified Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing Jun 26, 2023 Federated Learning GPR
— Unverified Practical Privacy Preserving POI Recommendation Mar 5, 2020 Federated Learning Privacy Preserving
— Unverified Practical quantum federated learning and its experimental demonstration Jan 22, 2025 Federated Learning Model Compression
— Unverified Practical Secure Aggregation for Federated Learning on User-Held Data Nov 14, 2016 Federated Learning
— Unverified PREAMBLE: Private and Efficient Aggregation of Block Sparse Vectors and Applications Mar 14, 2025 Federated Learning
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— Unverified Precision-Weighted Federated Learning Jul 20, 2021 Computational Efficiency Federated Learning
— Unverified Preconditioned Federated Learning Sep 20, 2023 Federated Learning Privacy Preserving
— Unverified Predicting Quality of Video Gaming Experience Using Global-Scale Telemetry Data and Federated Learning Dec 12, 2024 Federated Learning
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— Unverified Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning Sep 2, 2022 Federated Learning Generative Adversarial Network
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— Unverified Preliminary Steps Towards Federated Sentiment Classification Jul 26, 2021 Classification Dimensionality Reduction
— Unverified Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality Dec 1, 2019 Federated Learning
— Unverified Preserving Privacy and Security in Federated Learning Feb 7, 2022 Federated Learning
— Unverified Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Sep 10, 2022 Federated Learning image-classification
— Unverified Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification Aug 20, 2023 Federated Learning Functional Connectivity
— Unverified Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning Jan 25, 2025 Adversarial Robustness Federated Learning
— Unverified Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs Jun 17, 2024 Federated Learning Meta-Learning
— Unverified Price-Discrimination Game for Distributed Resource Management in Federated Learning Aug 26, 2023 Federated Learning Management
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— Unverified PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction Oct 5, 2023 Document AI Federated Learning
— Unverified Principles and Components of Federated Learning Architectures Feb 7, 2025 Federated Learning
— Unverified Prior-Independent Auctions for the Demand Side of Federated Learning Mar 26, 2021 Federated Learning
— Unverified Prioritized Multi-Criteria Federated Learning Jul 17, 2020 Federated Learning image-classification
— Unverified Prioritizing Modalities: Flexible Importance Scheduling in Federated Multimodal Learning Aug 13, 2024 Computational Efficiency Deep Reinforcement Learning
— Unverified PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Oct 13, 2023 Federated Learning
— Unverified PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning Oct 30, 2023 Federated Learning
— Unverified Privacy Against Agnostic Inference Attacks in Vertical Federated Learning Feb 10, 2023 Federated Learning Inference Attack
— Unverified Privacy Against Inference Attacks in Vertical Federated Learning Jul 24, 2022 Federated Learning Inference Attack
— Unverified Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation Apr 4, 2023 Federated Learning
— Unverified Privacy Amplification via Random Participation in Federated Learning May 3, 2022 Federated Learning
— Unverified Privacy Amplification via Random Check-Ins Jul 13, 2020 Federated Learning
— Unverified Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Jun 25, 2023 Fairness Federated Learning
— Unverified Privacy and Robustness in Federated Learning: Attacks and Defenses Dec 7, 2020 Federated Learning Privacy Preserving
— Unverified Privacy Assessment of Federated Learning using Private Personalized Layers Jun 15, 2021 Attribute Federated Learning
— Unverified Privacy Attack in Federated Learning is Not Easy: An Experimental Study Sep 28, 2024 Federated Learning
— Unverified Privacy attacks for automatic speech recognition acoustic models in a federated learning framework Nov 6, 2021 Automatic Speech Recognition Automatic Speech Recognition (ASR)
— Unverified Privacy-aware Berrut Approximated Coded Computing for Federated Learning May 2, 2024 Distributed Computing Federated Learning
— Unverified Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning May 10, 2025 Federated Learning
— Unverified MeanCache: User-Centric Semantic Caching for LLM Web Services Mar 5, 2024 Federated Learning Language Modeling
— Unverified 