Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning May 10, 2024 Backdoor Attack Data Poisoning
— Unverified 0 Concept drift detection and adaptation for federated and continual learning May 27, 2021 Continual Learning Drift Detection
— Unverified 0 Concept Drift Detection in Federated Networked Systems Sep 13, 2021 Dimensionality Reduction Drift Detection
— Unverified 0 Concept Matching: Clustering-based Federated Continual Learning Nov 12, 2023 Clustering Continual Learning
— Unverified 0 Concurrent vertical and horizontal federated learning with fuzzy cognitive maps Dec 17, 2024 Federated Learning
— Unverified 0 ConDa: Fast Federated Unlearning with Contribution Dampening Oct 5, 2024 Federated Learning
— Unverified 0 Confederated Learning: Federated Learning with Decentralized Edge Servers May 30, 2022 Federated Learning Scheduling
— Unverified 0 Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence Oct 4, 2019 BIG-bench Machine Learning Federated Learning
— Unverified 0 Confidence-based federated distillation for vision-based lane-centering Jun 5, 2023 Autonomous Driving Federated Learning
— Unverified 0 Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning Apr 27, 2021 Federated Learning Privacy Preserving
— Unverified 0 Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators Oct 31, 2024 Conformal Prediction Federated Learning
— Unverified 0 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift Jun 8, 2023 Conformal Prediction Federated Learning
— Unverified 0 Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Oct 17, 2024 Conformal Prediction Federated Learning
— Unverified 0 Connecting Federated ADMM to Bayes Jan 28, 2025 Federated Learning
— Unverified 0 Considerations on the Theory of Training Models with Differential Privacy Mar 8, 2023 Federated Learning
— Unverified 0 Constrained Differentially Private Federated Learning for Low-bandwidth Devices Feb 27, 2021 Federated Learning Privacy Preserving
— Unverified 0 Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks Jun 23, 2022 Federated Learning
— Unverified 0 Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach Jun 13, 2022 Federated Learning
— Unverified 0 Context-Aware Online Client Selection for Hierarchical Federated Learning Dec 2, 2021 Federated Learning
— Unverified 0 Contextual Combinatorial Multi-output GP Bandits with Group Constraints Nov 29, 2021 Federated Learning Gaussian Processes
— Unverified 0 Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing Mar 23, 2022 Edge-computing Federated Learning
— Unverified 0 Contextual Stochastic Bilevel Optimization Oct 27, 2023 Bilevel Optimization Federated Learning
— Unverified 0 Continual Deep Reinforcement Learning for Decentralized Satellite Routing May 20, 2024 Continual Learning Deep Reinforcement Learning
— Unverified 0 Continual Distributed Learning for Crisis Management Apr 26, 2021 Continual Learning Disaster Response
— Unverified 0 Continual Horizontal Federated Learning for Heterogeneous Data Mar 4, 2022 Continual Learning Federated Learning
— Unverified 0 Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification Apr 26, 2022 Continual Learning Federated Learning
— Unverified 0 Continual Learning for Smart City: A Survey Apr 1, 2024 Continual Learning Federated Learning
— Unverified 0 Continuous-Time Analysis of Federated Averaging Jan 31, 2025 Federated Learning
— Unverified 0 CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Jan 6, 2025 Federated Learning Graph Neural Network
— Unverified 0 Contractive error feedback for gradient compression Dec 13, 2023 Federated Learning GPU
— Unverified 0 Contrastive encoder pre-training-based clustered federated learning for heterogeneous data Nov 28, 2023 Clustering Contrastive Learning
— Unverified 0 Contrastive Federated Learning with Tabular Data Silos Sep 10, 2024 Contrastive Learning Federated Learning
— Unverified 0 Contrastive Re-localization and History Distillation in Federated CMR Segmentation Sep 16, 2022 Federated Learning Image Segmentation
— Unverified 0 Contribution Evaluation in Federated Learning: Examining Current Approaches Nov 16, 2023 Federated Learning
— Unverified 0 Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations Jul 2, 2024 Federated Learning
— Unverified 0 Controlled privacy leakage propagation throughout overlapping grouped learning Mar 6, 2025 Federated Learning
— Unverified 0 Controlling Federated Learning for Covertness Aug 17, 2023 Federated Learning
— Unverified 0 Convergence Analysis and System Design for Federated Learning over Wireless Networks Apr 30, 2021 Federated Learning Scheduling
— Unverified 0 Convergence Analysis of Federated Learning Methods Using Backward Error Analysis Mar 5, 2025 Federated Learning
— Unverified 0 Convergence Analysis of Over-the-Air FL with Compression and Power Control via Clipping May 18, 2023 Federated Learning
— Unverified 0 Convergence Analysis of Split Federated Learning on Heterogeneous Data Feb 23, 2024 Federated Learning
— Unverified 0 Convergence Analysis of Sequential Split Learning on Heterogeneous Data Feb 3, 2023 Federated Learning
— Unverified 0 Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning Mar 8, 2021 Federated Learning Meta-Learning
— Unverified 0 Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting Sep 29, 2024 Federated Learning Graph Learning
— Unverified 0 Convergence of Agnostic Federated Averaging Jul 14, 2025 Federated Learning
— Unverified 0 Convergence of Federated Learning over a Noisy Downlink Aug 25, 2020 Federated Learning Quantization
— Unverified 0 Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Jan 17, 2023 Federated Learning Meta-Learning
— Unverified 0 Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy Feb 2, 2023 Federated Learning
— Unverified 0 Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning Jun 17, 2025 Fairness Federated Learning
— Unverified 0 Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devices Jan 6, 2024 Electromyography (EMG) Federated Learning
— Unverified 0 