Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning Jul 14, 2025 Federated Learning Knowledge Distillation
— Unverified 0 Feature Diversification and Adaptation for Federated Domain Generalization Jul 11, 2024 Domain Generalization Federated Learning
— Unverified 0 Feature Matching Data Synthesis for Non-IID Federated Learning Aug 9, 2023 Data Augmentation Federated Learning
— Unverified 0 Fed2: Feature-Aligned Federated Learning Nov 28, 2021 Federated Learning
— Unverified 0 FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation Jun 26, 2025 Attribute Benchmarking
— Unverified 0 FedABC: Targeting Fair Competition in Personalized Federated Learning Feb 15, 2023 Binary Classification Federated Learning
— Unverified 0 FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data Mar 25, 2024 Dimensionality Reduction Federated Learning
— Unverified 0 FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data Aug 8, 2024 Anomaly Detection Benchmarking
— Unverified 0 FedADC: Accelerated Federated Learning with Drift Control Dec 16, 2020 Federated Learning
— Unverified 0 FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation Mar 28, 2022 Distributed Optimization Federated Learning
— Unverified 0 FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity Apr 7, 2022 Federated Learning
— Unverified 0 FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning Feb 21, 2024 Federated Learning
— Unverified 0 FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation Jun 3, 2024 Deep Learning Federated Learning
— Unverified 0 FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures May 10, 2025 Federated Learning model
— Unverified 0 FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning May 15, 2023 Federated Learning Privacy Preserving
— Unverified 0 Robustness and Personalization in Federated Learning: A Unified Approach via Regularization Sep 14, 2020 Federated Learning Personalized Federated Learning
— Unverified 0 FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment Jan 26, 2025 Diversity Domain Generalization
— Unverified 0 FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients Feb 15, 2024 Federated Learning
— Unverified 0 FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data Feb 11, 2025 Computational Efficiency Federated Learning
— Unverified 0 FedAQ: Communication-Efficient Federated Edge Learning via Joint Uplink and Downlink Adaptive Quantization Jun 26, 2024 Federated Learning Quantization
— Unverified 0 FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots Jan 11, 2021 Autonomous Vehicles BIG-bench Machine Learning
— Unverified 0 FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Jul 26, 2024 Federated Learning Privacy Preserving
— Unverified 0 FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings Sep 3, 2022 Federated Learning Privacy Preserving
— Unverified 0 FedASTA: Federated adaptive spatial-temporal attention for traffic flow prediction May 21, 2024 Federated Learning graph construction
— Unverified 0 FedAST: Federated Asynchronous Simultaneous Training Jun 1, 2024 Federated Learning
— Unverified 0 FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers Oct 12, 2020 Federated Learning
— Unverified 0 FedAT: Federated Adversarial Training for Distributed Insider Threat Detection Sep 19, 2024 Federated Learning
— Unverified 0 FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling Feb 10, 2022 Federated Learning Recommendation Systems
— Unverified 0 FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction Jul 21, 2023 Federated Learning Image Reconstruction
— Unverified 0 FedAUXfdp: Differentially Private One-Shot Federated Distillation May 30, 2022 Federated Learning
— Unverified 0 FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification Apr 11, 2024 Federated Learning Multi-Task Learning
— Unverified 0 FedAvgen: Metadata for Model Aggregation In Communication Systems Apr 28, 2025 Diversity Federated Learning
— Unverified 0 FedAvg with Fine Tuning: Local Updates Lead to Representation Learning May 27, 2022 Diversity Federated Learning
— Unverified 0 FedBABU: Toward Enhanced Representation for Federated Image Classification Sep 29, 2021 Classification Federated Learning
— Unverified 0 FedBaF: Federated Learning Aggregation Biased by a Foundation Model Oct 24, 2024 Federated Learning Language Modeling
— Unverified 0 FedBA: Non-IID Federated Learning Framework in UAV Networks Oct 10, 2022 Federated Learning
— Unverified 0 FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks Dec 4, 2023 Data Poisoning Federated Learning
— Unverified 0 FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Mar 19, 2025 Bayesian Inference Federated Learning
— Unverified 0 Fed-BEV: A Federated Learning Framework for Modelling Energy Consumption of Battery Electric Vehicles Aug 5, 2021 energy management Federated Learning
— Unverified 0 FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jul 14, 2023 Bayesian Inference Federated Learning
— Unverified 0 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Oct 7, 2024 Federated Learning
— Unverified 0 FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks Nov 5, 2024 backdoor defense Federated Learning
— Unverified 0 FedBlockHealth: A Synergistic Approach to Privacy and Security in IoT-Enabled Healthcare through Federated Learning and Blockchain Apr 16, 2023 Computational Efficiency Federated Learning
— Unverified 0 FedBone: Towards Large-Scale Federated Multi-Task Learning Jun 30, 2023 Federated Learning Multi-Task Learning
— Unverified 0 FedBoost: A Communication-Efficient Algorithm for Federated Learning Jan 1, 2020 Density Estimation Federated Learning
— Unverified 0 FedBot: Enhancing Privacy in Chatbots with Federated Learning Apr 4, 2023 Chatbot Federated Learning
— Unverified 0 FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models Oct 2, 2023 Federated Learning Privacy Preserving
— Unverified 0 FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning Feb 27, 2024 Federated Learning
— Unverified 0 FedBWO: Enhancing Communication Efficiency in Federated Learning May 7, 2025 Federated Learning
— Unverified 0 FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning May 20, 2024 Federated Learning
— Unverified 0 