Differentially Private Multi-Site Treatment Effect Estimation Oct 10, 2023 Causal Inference Federated Learning
— 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 A Modified UDP for Federated Learning Packet Transmissions Aug 11, 2022 Federated Learning
— Unverified 0 Differentially Private Meta-Learning Sep 12, 2019 Federated Learning Few-Shot Learning
— Unverified 0 Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning Dec 29, 2023 Federated Learning Language Modeling
— Unverified 0 Bayesian Variational Federated Learning and Unlearning in Decentralized Networks Apr 8, 2021 Federated Learning Variational Inference
— Unverified 0 AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI Sep 13, 2021 BIG-bench Machine Learning energy management
— Unverified 0 Adaptive Personlization in Federated Learning for Highly Non-i.i.d. Data Jul 7, 2022 Clustering Federated Learning
— Unverified 0 A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets Feb 15, 2024 Deep Learning Federated Learning
— Unverified 0 ABG: A Multi-Party Mixed Protocol Framework for Privacy-Preserving Cooperative Learning Feb 7, 2022 BIG-bench Machine Learning Federated Learning
— Unverified 0 Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates Feb 18, 2022 Federated Learning image-classification
— Unverified 0 Differentially Private Federated Learning via Inexact ADMM Jun 11, 2021 Federated Learning image-classification
— Unverified 0 Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations Sep 27, 2023 Federated Learning Personalized Federated Learning
— Unverified 0 Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation Dec 20, 2024 Denoising Federated Learning
— Unverified 0 Differentially Private Federated Learning for Resource-Constrained Internet of Things Mar 28, 2020 Federated Learning
— Unverified 0 Bayesian Neural Network For Personalized Federated Learning Parameter Selection Feb 25, 2024 Federated Learning Personalized Federated Learning
— Unverified 0 A Metamodel and Framework for Artificial General Intelligence From Theory to Practice Feb 11, 2021 BIG-bench Machine Learning Federated Learning
— Unverified 0 Differentially Private Federated Learning: A Systematic Review May 14, 2024 Federated Learning Privacy Preserving
— Unverified 0 Bayesian Federated Neural Matching that Completes Full Information Nov 15, 2022 Federated Learning image-classification
— Unverified 0 Differentially Private Federated Learning With Time-Adaptive Privacy Spending Feb 25, 2025 Federated Learning
— Unverified 0 Differentially Private Federated Learning without Noise Addition: When is it Possible? May 6, 2024 Federated Learning Privacy Preserving
— Unverified 0 Bayesian Federated Model Compression for Communication and Computation Efficiency Apr 11, 2024 Bayesian Inference Federated Learning
— Unverified 0 A Metamodel and Framework for AGI Aug 28, 2020 Federated Learning object-detection
— Unverified 0 Differentially Private Federated Learning: Servers Trustworthiness, Estimation, and Statistical Inference Apr 25, 2024 Federated Learning
— Unverified 0 Differentially Private Federated Learning with Local Regularization and Sparsification Mar 7, 2022 Federated Learning
— Unverified 0 Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory Jul 9, 2024 Federated Learning parameter estimation
— Unverified 0 Differentially Private Federated Bayesian Optimization with Distributed Exploration Oct 27, 2021 Bayesian Optimization Federated Learning
— Unverified 0 Federated Learning with Uncertainty via Distilled Predictive Distributions Jun 15, 2022 Active Learning Decision Making
— Unverified 0 A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning May 28, 2023 Federated Learning Meta-Learning
— Unverified 0 Adaptive Parameterization of Deep Learning Models for Federated Learning Feb 6, 2023 Deep Learning Federated Learning
— Unverified 0 Differentially Private Federated Combinatorial Bandits with Constraints Jun 27, 2022 Federated Learning Privacy Preserving
— Unverified 0 Differentially Private Distributed Convex Optimization Feb 28, 2023 Distributed Optimization Federated Learning
— Unverified 0 Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing Feb 12, 2024 Bayesian Inference Federated Learning
— Unverified 0 Differentially Private Data Generative Models Dec 6, 2018 BIG-bench Machine Learning Federated Learning
— Unverified 0 Bayesian Federated Learning over Wireless Networks Dec 31, 2020 Federated Learning Privacy Preserving
— Unverified 0 A Masked Pruning Approach for Dimensionality Reduction in Communication-Efficient Federated Learning Systems Dec 6, 2023 Dimensionality Reduction Federated Learning
— Unverified 0 Differentially Private CutMix for Split Learning with Vision Transformer Oct 28, 2022 Federated Learning Privacy Preserving
— Unverified 0 Bayesian Federated Learning for Continual Training Apr 21, 2025 Continual Learning Federated Learning
— Unverified 0 Differentially Private AUC Computation in Vertical Federated Learning May 24, 2022 Federated Learning Vertical Federated Learning
— Unverified 0 DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities May 18, 2021 Federated Learning Management
— Unverified 0 Bayesian Federated Learning: A Survey Apr 26, 2023 Federated Learning Privacy Preserving
— Unverified 0 -Weighted Federated Adversarial Training Sep 29, 2021 Adversarial Attack Federated Learning
— Unverified 0 DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning Sep 24, 2023 Data-free Knowledge Distillation Diversity
— Unverified 0 DFML: Decentralized Federated Mutual Learning Feb 2, 2024 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 dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Mar 13, 2025 Federated Learning Mixture-of-Experts
— Unverified 0 DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning Aug 16, 2023 Federated Learning
— Unverified 0 Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift May 4, 2025 Federated Learning
— Unverified 0 Almost Tight Error Bounds on Differentially Private Continual Counting Nov 9, 2022 Federated Learning
— Unverified 0 DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning Sep 12, 2024 Federated Learning image-classification
— Unverified 0 