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— Unverified Cross-domain Federated Object Detection Jun 30, 2022 Autonomous Driving Federated Learning
— Unverified AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization Sep 26, 2021 Federated Learning Privacy Preserving
— Unverified Cross-Domain Federated Learning in Medical Imaging Dec 18, 2021 Deep Learning Federated Learning
— Unverified A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples Sep 3, 2021 Federated Learning Model Poisoning
— Unverified Age-Based Device Selection and Transmit Power Optimization in Over-the-Air Federated Learning Jan 3, 2025 Fairness Federated Learning
— Unverified Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection Mar 13, 2023 Diagnostic Federated Learning
— Unverified Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs May 19, 2025 Cloud Computing Federated Learning
— Unverified Asynchronous Wireless Federated Learning with Probabilistic Client Selection Nov 28, 2023 Federated Learning
— Unverified Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Dec 24, 2019 Federated Learning Privacy Preserving
— Unverified Critical Learning Periods in Federated Learning Sep 12, 2021 Federated Learning
— Unverified Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits Oct 4, 2021 Federated Learning
— Unverified Age Aware Scheduling for Differentially-Private Federated Learning May 9, 2024 Federated Learning Scheduling
— Unverified Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning Sep 30, 2023 Federated Learning
— Unverified Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation Oct 14, 2024 Federated Learning Privacy Preserving
— Unverified Concentrated Differentially Private and Utility Preserving Federated Learning Mar 30, 2020 Federated Learning Privacy Preserving
— Unverified Asynchronous Personalized Federated Learning through Global Memorization Mar 1, 2025 Federated Learning Memorization
— Unverified COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework Oct 13, 2020 BIG-bench Machine Learning Federated Learning
— Unverified Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization Jan 28, 2021 Federated Learning Model Poisoning
— Unverified Asynchronous Online Federated Learning with Reduced Communication Requirements Mar 27, 2023 Federated Learning
— Unverified A GAN-based data poisoning framework against anomaly detection in vertical federated learning Jan 17, 2024 Anomaly Detection Data Poisoning
— Unverified Covert Communication Based on the Poisoning Attack in Federated Learning Jun 2, 2023 Computer Security Federated Learning
— Unverified Turning Federated Learning Systems Into Covert Channels Apr 21, 2021 Federated Learning Model Poisoning
— Unverified Asynchronous Online Federated Learning for Edge Devices with Non-IID Data Nov 5, 2019 Federated Learning
— Unverified Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients Jun 3, 2024 Federated Learning image-classification
— Unverified Cost-Effective Federated Learning in Mobile Edge Networks Sep 12, 2021 Federated Learning
— Unverified A Game-theoretic Framework for Privacy-preserving Federated Learning Apr 11, 2023 Federated Learning Privacy Preserving
— Unverified Adaptive Client Selection in Federated Learning: A Network Anomaly Detection Use Case Jan 25, 2025 Anomaly Detection Federated Learning
— Unverified FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications Jun 28, 2020 Federated Learning
— Unverified Cost-Effective Federated Learning Design Dec 15, 2020 Federated Learning
— Unverified CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization Dec 15, 2020 Federated Learning image-classification
— Unverified Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization May 22, 2023 Federated Learning Scheduling
— Unverified Accelerating Hybrid Federated Learning Convergence under Partial Participation Apr 10, 2023 Federated Learning
— Unverified Asynchronous Local Computations in Distributed Bayesian Learning Nov 6, 2023 Federated Learning
— Unverified Local SGD Accelerates Convergence by Exploiting Second Order Information of the Loss Function May 24, 2023 Federated Learning
— Unverified FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication Nov 21, 2023 Federated Learning
— Unverified Correlation Aware Sparsified Mean Estimation Using Random Projection Oct 29, 2023 Distributed Optimization Federated Learning
— Unverified Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation Jul 3, 2024 Federated Learning Privacy Preserving
— Unverified Asynchronous Hierarchical Federated Learning May 31, 2022 Federated Learning image-classification
— Unverified Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Apr 5, 2025 Federated Learning Knowledge Distillation
— Unverified Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays May 16, 2024 Federated Learning Stochastic Optimization
— Unverified A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy Dec 9, 2024 Federated Learning Privacy Preserving
— Unverified A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck Jun 10, 2025 Federated Learning Generative Adversarial Network
— Unverified FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning Apr 18, 2024 EEG ERP
— Unverified FDNAS: Improving Data Privacy and Model Diversity in AutoML Nov 6, 2020 AutoML Diversity
— Unverified 