Differentially-Private Multi-Tier Federated Learning Jan 21, 2024 Federated Learning
— Unverified 0 Differential Privacy Meets Federated Learning under Communication Constraints Jan 28, 2021 Federated Learning Model Compression
— Unverified 0 Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates Mar 12, 2025 Federated Learning Personalized Federated Learning
— Unverified 0 Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection Feb 16, 2024 Federated Learning Privacy Preserving
— Unverified 0 Differential Secrecy for Distributed Data and Applications to Robust Differentially Secure Vector Summation Feb 22, 2022 Federated Learning
— Unverified 0 Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks Dec 5, 2022 Fairness Federated Learning
— Unverified 0 Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations May 22, 2024 Federated Learning
— Unverified 0 Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning Jan 4, 2025 Federated Learning
— Unverified 0 Digital Ethics in Federated Learning Oct 4, 2023 Ethics Fairness
— Unverified 0 Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning Mar 10, 2023 Federated Learning Knowledge Distillation
— Unverified 0 Digital versus Analog Transmissions for Federated Learning over Wireless Networks Feb 15, 2024 Federated Learning
— Unverified 0 Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation Oct 13, 2022 Federated Learning
— Unverified 0 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning Mar 11, 2024 Domain Generalization Federated Learning
— Unverified 0 DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning Jan 8, 2021 Adversarial Robustness BIG-bench Machine Learning
— Unverified 0 Direct Federated Neural Architecture Search Oct 13, 2020 Federated Learning Neural Architecture Search
— Unverified 0 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks Dec 18, 2023 Federated Learning Personalized Federated Learning
— Unverified 0 DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks Aug 14, 2023 Federated Learning Medical Image Analysis
— Unverified 0 Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring Jun 14, 2022 Diversity Federated Learning
— Unverified 0 Disentangling data distribution for Federated Learning Oct 16, 2024 Federated Learning
— Unverified 0 DistDD: Distributed Data Distillation Aggregation through Gradient Matching Oct 11, 2024 Federated Learning Neural Architecture Search
— Unverified 0 Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data Aug 14, 2020 Data Augmentation Federated Learning
— Unverified 0 Distilled One-Shot Federated Learning Sep 17, 2020 Dataset Distillation Federated Learning
— Unverified 0 Distilling A Universal Expert from Clustered Federated Learning Jun 25, 2025 Federated Learning
— Unverified 0 DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks Jan 15, 2024 Federated Learning Prediction
— Unverified 0 DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Dec 16, 2021 Federated Learning
— Unverified 0 Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities Dec 2, 2023 Density Estimation Federated Learning
— Unverified 0 Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Jan 6, 2024 Federated Learning
— Unverified 0 Distributed collaborative anomalous sound detection by embedding sharing Mar 25, 2024 Federated Learning
— Unverified 0 Distributed, communication-efficient, and differentially private estimation of KL divergence Nov 25, 2024 Federated Learning
— Unverified 0 Distributed Continual Learning May 23, 2024 Continual Learning Federated Learning
— Unverified 0 Distributed Contrastive Learning for Medical Image Segmentation Aug 7, 2022 Contrastive Learning Federated Learning
— Unverified 0 Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing Jul 11, 2024 Deep Reinforcement Learning Edge-computing
— Unverified 0 An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging Jun 12, 2020 Federated Learning
— Unverified 0 Distributed Networked Learning with Correlated Data Oct 28, 2019 Federated Learning
— Unverified 0 Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection Apr 15, 2024 Diagnostic Federated Learning
— Unverified 0 Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats May 29, 2025 Anomaly Detection Autonomous Vehicles
— Unverified 0 Distributed Fixed Point Methods with Compressed Iterates Dec 20, 2019 Federated Learning
— Unverified 0 Distributed Learning Approaches for Automated Chest X-Ray Diagnosis Oct 4, 2021 Federated Learning
— Unverified 0 Distributed Learning for Time-varying Networks: A Scalable Design Jul 31, 2021 Federated Learning
— Unverified 0 Distributed Learning for UAV Swarms Oct 21, 2024 Federated Learning
— Unverified 0 Distributed Learning for Wi-Fi AP Load Prediction Apr 22, 2024 Federated Learning Knowledge Distillation
— Unverified 0 Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction Feb 16, 2023 CPU Federated Learning
— Unverified 0 Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Apr 5, 2021 Decision Making Federated Learning
— Unverified 0 Distributed Learning Meets 6G: A Communication and Computing Perspective Mar 2, 2023 Edge-computing Federated Learning
— Unverified 0 Distributed Learning on Heterogeneous Resource-Constrained Devices Jun 9, 2020 Federated Learning Reinforcement Learning (RL)
— Unverified 0 Distributed learning optimisation of Cox models can leak patient data: Risks and solutions Apr 12, 2022 Federated Learning
— Unverified 0 Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network Nov 10, 2020 Federated Learning
— Unverified 0 Distributed Machine Learning and the Semblance of Trust Dec 21, 2021 BIG-bench Machine Learning Federated Learning
— Unverified 0 Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics Jan 3, 2023 Federated Learning Multi-agent Reinforcement Learning
— Unverified 0 Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Dec 2, 2020 BIG-bench Machine Learning Cloud Computing
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