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— Unverified 0 An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attack Dec 24, 2024 Adversarial Attack Federated Learning
— Unverified 0 An Empirical Evaluation of Federated Contextual Bandit Algorithms Mar 17, 2023 Federated Learning Multi-Armed Bandits
— Unverified 0 A Comprehensive Empirical Study of Bugs in Open-Source Federated Learning Frameworks Aug 9, 2023 Federated Learning
— Unverified 0 An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms Dec 24, 2023 Federated Learning Privacy Preserving
— Unverified 0 An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity May 31, 2023 Federated Learning
— Unverified 0 An Empirical Study of Federated Prompt Learning for Vision Language Model May 29, 2025 Federated Learning Language Modeling
— Unverified 0 An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Mar 26, 2025 Federated Learning
— Unverified 0 An Empirical Study of Vulnerability Detection using Federated Learning Nov 25, 2024 Federated Learning Vulnerability Detection
— Unverified 0 An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning Aug 22, 2019 Data Compression Federated Learning
— Unverified 0 An Energy and Carbon Footprint Analysis of Distributed and Federated Learning Jun 21, 2022 Federated Learning
— Unverified 0 An Energy Consumption Model for Electrical Vehicle Networks via Extended Federated-learning Nov 13, 2021 Anomaly Detection Federated Learning
— Unverified 0 An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication Sep 26, 2022 Federated Learning
— Unverified 0 An Enhanced Federated Prototype Learning Method under Domain Shift Sep 27, 2024 Federated Learning
— Unverified 0 On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks Oct 9, 2023 Federated Learning
— Unverified 0 An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis Mar 9, 2023 Contrastive Learning Federated Learning
— Unverified 0 A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated Learning May 1, 2022 Dimensionality Reduction Federated Learning
— Unverified 0 A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning Feb 17, 2025 Fairness Federated Learning
— Unverified 0 A New Implementation of Federated Learning for Privacy and Security Enhancement Aug 3, 2022 Federated Learning
— Unverified 0 A New Theoretical Perspective on Data Heterogeneity in Federated Optimization Jul 22, 2024 Federated Learning
— Unverified 0 SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing Feb 11, 2022 Distributed Optimization Federated Learning
— Unverified 0 A new type of federated clustering: A non-model-sharing approach Jun 11, 2025 Clustering Federated Learning
— Unverified 0 An Expectation-Maximization Perspective on Federated Learning Nov 19, 2021 Federated Learning
— Unverified 0 An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning Feb 14, 2023 Federated Learning
— Unverified 0 An Experimental Study of Class Imbalance in Federated Learning Sep 9, 2021 BIG-bench Machine Learning Federated Learning
— Unverified 0 An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging Jul 18, 2021 Federated Learning Privacy Preserving
— Unverified 0 An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach Sep 22, 2020 BIG-bench Machine Learning Federated Learning
— Unverified 0 An Incentive Mechanism for Federated Learning Based on Multiple Resource Exchange Dec 13, 2023 Federated Learning
— Unverified 0 An Information-Theoretic Analysis for Federated Learning under Concept Drift Jun 26, 2025 Federated Learning
— Unverified 0 An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints Oct 11, 2021 Federated Learning Vertical Federated Learning
— Unverified 0 An Information Theoretic Perspective on Conformal Prediction May 3, 2024 Conformal Prediction Federated Learning
— Unverified 0 An Innovative Networks in Federated Learning May 28, 2024 Computational Efficiency Federated Learning
— Unverified 0 An Intelligent Mechanism for Monitoring and Detecting Intrusions in IoT Devices Jun 23, 2023 Federated Learning Intrusion Detection
— Unverified 0 An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning Oct 4, 2024 Federated Learning
— Unverified 0 An Interpretable Federated Learning-based Network Intrusion Detection Framework Jan 10, 2022 Federated Learning Intrusion Detection
— Unverified 0 An Investigation towards Differentially Private Sequence Tagging in a Federated Framework Jun 1, 2021 Federated Learning named-entity-recognition
— Unverified 0 FLBench: A Benchmark Suite for Federated Learning Aug 17, 2020 BIG-bench Machine Learning Federated Learning
— Unverified 0 AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning Jun 12, 2023 Federated Learning Privacy Preserving
— Unverified 0 Anomalous Client Detection in Federated Learning Nov 3, 2024 Anomaly Detection Edge-computing
— Unverified 0 Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach Jan 22, 2025 Anomaly Detection Dimensionality Reduction
— Unverified 0 Anomaly Detection via Federated Learning Oct 12, 2022 Anomaly Detection Federated Learning
— Unverified 0 An On-Device Federated Learning Approach for Cooperative Model Update between Edge Devices Feb 27, 2020 Anomaly Detection Federated Learning
— Unverified 0 Anonymizing Data for Privacy-Preserving Federated Learning Feb 21, 2020 BIG-bench Machine Learning Federated Learning
— Unverified 0 An Operator Splitting View of Federated Learning Aug 12, 2021 Federated Learning
— Unverified 0 An Optimal Transport Approach to Personalized Federated Learning Jun 6, 2022 Federated Learning Personalized Federated Learning
— Unverified 0 An Optimization Framework for Federated Edge Learning Nov 26, 2021 Edge-computing Federated Learning
— Unverified 0 A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss Apr 6, 2025 Federated Learning Knowledge Distillation
— Unverified 0 A Novel Attribute Reconstruction Attack in Federated Learning Aug 16, 2021 Attribute Federated Learning
— Unverified 0 A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security Dec 7, 2023 Federated Learning Intrusion Detection
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