Query-based Knowledge Transfer for Heterogeneous Learning Environments Apr 12, 2025 Federated Learning Transfer Learning
— Unverified QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation Nov 27, 2023 Dataset Distillation Federated Learning
— Unverified QUIC-FL: Quick Unbiased Compression for Federated Learning May 26, 2022 Federated Learning Quantization
— Unverified QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning Jul 29, 2021 Federated Learning Knowledge Distillation
— Unverified QuPeL: Quantized Personalization with Applications to Federated Learning Feb 23, 2021 Diversity Federated Learning
— Unverified RAB^2-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients Oct 10, 2024 Fairness Federated Learning
— Unverified AFGI: Towards Accurate and Fast-convergent Gradient Inversion Attack in Federated Learning Mar 13, 2024 Edge Detection Federated Learning
— Unverified RaftFed: A Lightweight Federated Learning Framework for Vehicular Crowd Intelligence Oct 11, 2023 Federated Learning Privacy Preserving
— Unverified RAG-based User Profiling for Precision Planning in Mixed-precision Over-the-Air Federated Learning Mar 19, 2025 Federated Learning Quantization
— Unverified rAge-k: Communication-Efficient Federated Learning Using Age Factor Oct 29, 2024 Federated Learning
— Unverified Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization Oct 12, 2023 Distributed Optimization Federated Learning
— Unverified Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks Feb 20, 2024 Federated Learning
— Unverified Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning Aug 15, 2024 Federated Learning
— Unverified Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation Oct 10, 2024 Federated Learning parameter-efficient fine-tuning
— Unverified Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning Apr 16, 2024 Federated Learning Multi-agent Reinforcement Learning
— Unverified Random Orthogonalization for Federated Learning in Massive MIMO Systems Oct 18, 2022 Federated Learning
— Unverified Federated Random Reshuffling with Compression and Variance Reduction May 8, 2022 BIG-bench Machine Learning Federated Learning
— Unverified Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning May 7, 2024 Federated Learning Imitation Learning
— Unverified Rate-Constrained Quantization for Communication-Efficient Federated Learning Sep 10, 2024 Data Compression Federated Learning
— Unverified Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Jan 6, 2025 Cardiac Segmentation Federated Learning
— Unverified Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning Jan 21, 2021 Decoder Federated Learning
— Unverified Rate-Splitting Multiple Access for Overloaded Multi-group Multicast: A First Experimental Study Jun 21, 2024 Fairness Federated Learning
— Unverified Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning Jun 5, 2025 Federated Learning
— Unverified RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaS Aug 16, 2024 Federated Learning
— Unverified RCC-PFL: Robust Client Clustering under Noisy Labels in Personalized Federated Learning Mar 25, 2025 Clustering Federated Learning
— Unverified Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses Dec 8, 2020 Federated Learning Quantization
— Unverified Real-time End-to-End Federated Learning: An Automotive Case Study Mar 22, 2021 Autonomous Driving BIG-bench Machine Learning
— Unverified Real-time Federated Evolutionary Neural Architecture Search Mar 4, 2020 BIG-bench Machine Learning Federated Learning
— Unverified Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain May 15, 2024 Federated Learning
— Unverified Recent Advances on Federated Learning: A Systematic Survey Jan 3, 2023 Federated Learning Privacy Preserving
— Unverified Recent Methodological Advances in Federated Learning for Healthcare Oct 4, 2023 Federated Learning
— Unverified Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation Dec 28, 2024 Brain Tumor Segmentation Collaborative Filtering
— Unverified Reconciling Hessian-Informed Acceleration and Scalar-Only Communication for Efficient Federated Zeroth-Order Fine-Tuning Jun 3, 2025 Federated Learning
— Unverified Reconstructing Training Data from Model Gradient, Provably Dec 7, 2022 Federated Learning model
— Unverified Recovering Global Data Distribution Locally in Federated Learning Sep 21, 2024 Federated Learning image-classification
— Unverified Recovering Labels from Local Updates in Federated Learning May 2, 2024 Federated Learning
— Unverified RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Apr 11, 2023 Adversarial Attack Attribute
— Unverified Recursive Euclidean Distance Based Robust Aggregation Technique For Federated Learning Mar 20, 2023 Data Poisoning Federated Learning
— Unverified Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft May 22, 2025 Clustering Federated Learning
— Unverified FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning Aug 25, 2022 Backdoor Attack Data Poisoning
— Unverified Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary Jan 18, 2021 Federated Learning Lesion Classification
— Unverified Federated Class-Incremental Learning with Hierarchical Generative Prototypes Jun 4, 2024 class-incremental learning Class Incremental Learning
— Unverified Reducing Communication for Split Learning by Randomized Top-k Sparsification May 29, 2023 Federated Learning Quantization
— Unverified Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection Mar 19, 2025 Anomaly Detection Federated Learning
— Unverified Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Aug 30, 2022 Federated Learning
— Unverified Reducing Spurious Correlation for Federated Domain Generalization Jul 27, 2024 Domain Generalization Federated Learning
— Unverified FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning Aug 16, 2021 Federated Learning Image Classification
— Unverified Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Dec 5, 2022 Federated Learning Semantic Similarity
— Unverified ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences Jul 28, 2022 Federated Learning Recommendation Systems
— Unverified Regulating Clients' Noise Adding in Federated Learning without Verification Feb 24, 2023 Federated Learning
— Unverified 