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— Unverified 0 Balancing Privacy Protection and Interpretability in Federated Learning Feb 16, 2023 Federated Learning
— Unverified 0 Balancing Security and Accuracy: A Novel Federated Learning Approach for Cyberattack Detection in Blockchain Networks Sep 8, 2024 Federated Learning
— Unverified 0 Balancing Similarity and Complementarity for Federated Learning May 16, 2024 Federated Learning
— Unverified 0 Banded Square Root Matrix Factorization for Differentially Private Model Training May 22, 2024 Federated Learning
— Unverified 0 Bandit-based Communication-Efficient Client Selection Strategies for Federated Learning Dec 14, 2020 Fairness Federated Learning
— Unverified 0 Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jan 10, 2021 Fairness Federated Learning
— Unverified 0 Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning Aug 27, 2024 Data Compression Federated Learning
— Unverified 0 Bandwidth Slicing to Boost Federated Learning in Edge Computing Oct 24, 2019 Edge-computing Federated Learning
— Unverified 0 BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning May 9, 2023 Bayesian Optimization Federated Learning
— Unverified 0 Buffered Asynchronous SGD for Byzantine Learning Mar 2, 2020 Edge-computing Federated Learning
— Unverified 0 Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning Nov 2, 2021 Distributed Optimization Federated Learning
— Unverified 0 Battery-aware Cyclic Scheduling in Energy-harvesting Federated Learning Apr 16, 2025 Federated Learning Scheduling
— Unverified 0 BayBFed: Bayesian Backdoor Defense for Federated Learning Jan 23, 2023 backdoor defense Federated Learning
— Unverified 0 Bayes' capacity as a measure for reconstruction attacks in federated learning Jun 19, 2024 Federated Learning Reconstruction Attack
— Unverified 0 Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning Sep 14, 2021 Federated Learning
— Unverified 0 A Bayesian Framework for Clustered Federated Learning Oct 20, 2024 Federated Learning
— Unverified 0 Bayesian data fusion with shared priors Dec 14, 2022 Bayesian Inference Federated Learning
— Unverified 0 Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift May 4, 2025 Federated Learning
— Unverified 0 Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets Feb 15, 2023 Federated Learning
— Unverified 0 Bayesian Federated Learning: A Survey Apr 26, 2023 Federated Learning Privacy Preserving
— Unverified 0 Bayesian Federated Learning for Continual Training Apr 21, 2025 Continual Learning Federated Learning
— Unverified 0 Bayesian Federated Learning over Wireless Networks Dec 31, 2020 Federated Learning Privacy Preserving
— Unverified 0 Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing Feb 12, 2024 Bayesian Inference Federated Learning
— Unverified 0 Federated Learning with Uncertainty via Distilled Predictive Distributions Jun 15, 2022 Active Learning Decision Making
— Unverified 0 Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory Jul 9, 2024 Federated Learning parameter estimation
— Unverified 0 Bayesian Federated Model Compression for Communication and Computation Efficiency Apr 11, 2024 Bayesian Inference Federated Learning
— Unverified 0 Bayesian Federated Neural Matching that Completes Full Information Nov 15, 2022 Federated Learning image-classification
— Unverified 0 Bayesian Neural Network For Personalized Federated Learning Parameter Selection Feb 25, 2024 Federated Learning Personalized Federated Learning
— Unverified 0 Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations Sep 27, 2023 Federated Learning Personalized Federated Learning
— Unverified 0 Bayesian Variational Federated Learning and Unlearning in Decentralized Networks Apr 8, 2021 Federated Learning Variational Inference
— Unverified 0 Beam Management in Ultra-dense mmWave Network via Federated Reinforcement Learning: An Intelligent and Secure Approach Oct 4, 2022 Federated Learning Management
— Unverified 0 Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning Jun 24, 2025 Anomaly Detection Contrastive Learning
— Unverified 0 Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning Jun 23, 2021 Federated Learning
— Unverified 0 Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation Sep 29, 2023 Benchmarking Federated Learning
— Unverified 0 Benchmarking FedAvg and FedCurv for Image Classification Tasks Mar 31, 2023 Benchmarking Classification
— Unverified 0 Benchmarking Federated Machine Unlearning methods for Tabular Data Apr 1, 2025 Benchmarking Computational Efficiency
— Unverified 0 Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data Feb 15, 2024 Benchmarking Federated Learning
— Unverified 0 Benchmarking Mutual Information-based Loss Functions in Federated Learning Apr 16, 2025 Benchmarking Fairness
— Unverified 0 Beta Thalassemia Carriers detection empowered federated Learning Jun 2, 2023 Federated Learning
— Unverified 0 Better Generative Replay for Continual Federated Learning Feb 25, 2023 Continual Learning Federated Learning
— Unverified 0 Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction Dec 23, 2024 Federated Learning Knowledge Distillation
— Unverified 0 Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity Jul 1, 2022 BIG-bench Machine Learning Federated Learning
— Unverified 0 BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers Oct 18, 2021 Edge-computing Federated Learning
— Unverified 0 Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework Dec 3, 2022 Federated Learning image-classification
— Unverified 0 Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning Dec 10, 2023 CoLA Federated Learning
— Unverified 0 Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks Mar 1, 2022 Federated Learning
— Unverified 0 Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Dec 3, 2018 Edge-computing Federated Learning
— Unverified 0 Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration Jan 1, 2025 Distributed Computing Federated Learning
— Unverified 0 Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling Jun 26, 2024 Combinatorial Optimization Federated Learning
— Unverified 0 