Reconstructing Training Data from Model Gradient, Provably Dec 7, 2022 Federated Learning model
— Unverified 0 Recovering Global Data Distribution Locally in Federated Learning Sep 21, 2024 Federated Learning image-classification
— Unverified 0 Recovering Labels from Local Updates in Federated Learning May 2, 2024 Federated Learning
— Unverified 0 RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Apr 11, 2023 Adversarial Attack Attribute
— Unverified 0 Recursive Euclidean Distance Based Robust Aggregation Technique For Federated Learning Mar 20, 2023 Data Poisoning Federated Learning
— Unverified 0 Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft May 22, 2025 Clustering Federated Learning
— Unverified 0 FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning Aug 25, 2022 Backdoor Attack Data Poisoning
— Unverified 0 Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary Jan 18, 2021 Federated Learning Lesion Classification
— Unverified 0 Federated Class-Incremental Learning with Hierarchical Generative Prototypes Jun 4, 2024 class-incremental learning Class Incremental Learning
— Unverified 0 Reducing Communication for Split Learning by Randomized Top-k Sparsification May 29, 2023 Federated Learning Quantization
— Unverified 0 Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection Mar 19, 2025 Anomaly Detection Federated Learning
— Unverified 0 Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Aug 30, 2022 Federated Learning
— Unverified 0 Reducing Spurious Correlation for Federated Domain Generalization Jul 27, 2024 Domain Generalization Federated Learning
— Unverified 0 FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning Aug 16, 2021 Federated Learning Image Classification
— Unverified 0 Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Dec 5, 2022 Federated Learning Semantic Similarity
— Unverified 0 ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences Jul 28, 2022 Federated Learning Recommendation Systems
— Unverified 0 Regulating Clients' Noise Adding in Federated Learning without Verification Feb 24, 2023 Federated Learning
— Unverified 0 Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Dec 18, 2024 Federated Learning Novel Concepts
— Unverified 0 Rehearsal-free Federated Domain-incremental Learning May 22, 2024 Contrastive Learning Federated Learning
— Unverified 0 Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering Jun 22, 2023 Clustering Federated Learning
— Unverified 0 Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data May 24, 2020 Federated Learning
— Unverified 0 Reliable and Interpretable Personalized Federated Learning Jan 1, 2023 Federated Learning Personalized Federated Learning
— Unverified 0 Reliable Imputed-Sample Assisted Vertical Federated Learning Jan 11, 2025 Federated Learning Missing Values
— Unverified 0 Remote patient monitoring using artificial intelligence: Current state, applications, and challenges Jan 19, 2023 Federated Learning Management
— Unverified 0 Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients May 9, 2025 Automatic Speech Recognition Automatic Speech Recognition (ASR)
— Unverified 0 Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method Jan 30, 2024 Federated Learning
— Unverified 0 Renyi Differential Privacy of the Subsampled Shuffle Model in Distributed Learning Jul 19, 2021 Federated Learning Stochastic Optimization
— Unverified 0 REPA: Client Clustering without Training and Data Labels for Improved Federated Learning in Non-IID Settings Sep 25, 2023 Clustering Federated Learning
— Unverified 0 Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations Mar 18, 2023 De-identification Federated Learning
— Unverified 0 Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data Feb 12, 2025 Federated Learning Graph Attention
— Unverified 0 Representation of Federated Learning via Worst-Case Robust Optimization Theory Dec 11, 2019 Federated Learning
— Unverified 0 RepuNet: A Reputation System for Mitigating Malicious Clients in DFL Jun 24, 2025 Federated Learning Model Poisoning
— Unverified 0 Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification Oct 22, 2023 Brain Computer Interface Data Poisoning
— Unverified 0 Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain Jul 28, 2024 Autonomous Driving Deep Reinforcement Learning
— Unverified 0 Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning Mar 15, 2025 Cloud Computing Federated Learning
— Unverified 0 Research on Resource Allocation for Efficient Federated Learning Apr 19, 2021 Edge-computing Federated Learning
— Unverified 0 ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals Dec 11, 2022 Federated Learning Quantization
— Unverified 0 RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles Mar 20, 2025 Autonomous Vehicles Disentanglement
— Unverified 0 Residue-based Label Protection Mechanisms in Vertical Logistic Regression May 9, 2022 Federated Learning Inference Attack
— Unverified 0 Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks Nov 7, 2022 Federated Learning Model Poisoning
— Unverified 0 Resilient Constrained Learning Jun 4, 2023 Fairness Federated Learning
— Unverified 0 Resource Allocation for Compression-aided Federated Learning with High Distortion Rate Jun 2, 2022 Federated Learning Model Compression
— Unverified 0 Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach Oct 21, 2019 Deep Reinforcement Learning Federated Learning
— Unverified 0 Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality Nov 16, 2022 CPU Federated Learning
— Unverified 0 Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression Nov 27, 2021 Federated Learning regression
— Unverified 0 Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search Nov 9, 2022 Federated Learning Neural Architecture Search
— Unverified 0 Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks Nov 12, 2023 CPU Federated Learning
— Unverified 0 Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks Feb 6, 2024 Federated Learning
— Unverified 0 Resource-Constrained Federated Learning with Heterogeneous Labels and Models Nov 6, 2020 BIG-bench Machine Learning Federated Learning
— Unverified 0 Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles Oct 27, 2022 Federated Learning
— Unverified 0 