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— Unverified 0 Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation Mar 19, 2025 Federated Learning Privacy Preserving
— Unverified 0 Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning Jan 22, 2025 Federated Learning Personalized Federated Learning
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— Unverified 0 Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach Mar 2, 2024 Federated Learning
— Unverified 0 BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks Nov 1, 2024 Fairness Federated Learning
— Unverified 0 AirFL-Mem: Improving Communication-Learning Trade-Off by Long-Term Memory Oct 25, 2023 Federated Learning
— Unverified 0 Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning Jul 26, 2024 Federated Learning Inference Attack
— Unverified 0 A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning Jul 16, 2025 Data Poisoning Federated Learning
— Unverified 0 Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments Dec 23, 2022 Federated Learning
— Unverified 0 Deep Transfer Learning: A Novel Collaborative Learning Model for Cyberattack Detection Systems in IoT Networks Dec 2, 2021 Federated Learning Intrusion Detection
— Unverified 0 Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data Sep 19, 2024 Computational Efficiency Federated Learning
— Unverified 0 DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection Jan 3, 2022 Federated Learning
— Unverified 0 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers Aug 8, 2023 Backdoor Attack Federated Learning
— Unverified 0 Data science and AI in FinTech: An overview Jul 10, 2020 BIG-bench Machine Learning Federated Learning
— Unverified 0 Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing Apr 6, 2023 Deep Reinforcement Learning Edge-computing
— Unverified 0 Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets Jun 23, 2022 Deep Reinforcement Learning Demand Forecasting
— Unverified 0 Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection Feb 21, 2022 backdoor defense Federated Learning
— Unverified 0 Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT Feb 3, 2022 Deep Reinforcement Learning Federated Learning
— Unverified 0 Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings May 17, 2022 Federated Learning Segmentation
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— Unverified 0 AIGC-assisted Federated Learning for Edge Intelligence: Architecture Design, Research Challenges and Future Directions Mar 26, 2025 Federated Learning
— Unverified 0 AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems Nov 22, 2023 Federated Learning
— Unverified 0 Deep Learning Model Security: Threats and Defenses Dec 12, 2024 Data Poisoning Deep Learning
— Unverified 0 Backdoor Attacks in Peer-to-Peer Federated Learning Jan 23, 2023 Backdoor Attack Federated Learning
— Unverified 0 AI-Driven IRM: Transforming insider risk management with adaptive scoring and LLM-based threat detection May 1, 2025 Anomaly Detection Federated Learning
— Unverified 0 Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks Feb 22, 2020 Deep Reinforcement Learning Edge-computing
— Unverified 0 Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency Nov 9, 2023 Deep Learning Federated Learning
— Unverified 0 Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling Apr 29, 2022 Federated Learning Model Poisoning
— Unverified 0 Deep Learning Aided Broadcast Codes with Feedback Oct 22, 2024 Deep Learning Federated Learning
— Unverified 0 Deep Leakage from Model in Federated Learning Jun 10, 2022 Federated Learning model
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— Unverified 0 AIDRIN 2.0: A Framework to Assess Data Readiness for AI May 22, 2025 Fairness Federated Learning
— Unverified 0 Adaptive Federated Pruning in Hierarchical Wireless Networks May 15, 2023 Federated Learning Privacy Preserving
— Unverified 0 Accuracy and Privacy Evaluations of Collaborative Data Analysis Jan 27, 2021 Dimensionality Reduction Federated Learning
— Unverified 0 Deep leakage from gradients Dec 15, 2022 Federated Learning
— Unverified 0 Deep Hierarchy Quantization Compression algorithm based on Dynamic Sampling Dec 30, 2022 Federated Learning Quantization
— Unverified 0 Backdoor attacks and defenses in feature-partitioned collaborative learning Jul 7, 2020 Federated Learning
— Unverified 0 Backdoor Attack on Vertical Federated Graph Neural Network Learning Oct 15, 2024 Backdoor Attack Federated Learning
— Unverified 0 Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information Oct 7, 2024 Distributed Optimization Federated Learning
— Unverified 0 Deep Federated Anomaly Detection for Multivariate Time Series Data May 9, 2022 Anomaly Detection Constrained Clustering
— Unverified 0 Deep Equilibrium Models Meet Federated Learning May 29, 2023 Federated Learning
— Unverified 0 Deep Efficient Private Neighbor Generation for Subgraph Federated Learning Jan 9, 2024 Federated Learning Graph Mining
— Unverified 0 Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis Oct 19, 2022 Backdoor Attack Data Augmentation
— Unverified 0 AI-based traffic analysis in digital twin networks Nov 1, 2024 Fairness Federated Learning
— Unverified 0 Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems Dec 24, 2023 Demand Forecasting Federated Learning
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