Subject Membership Inference Attacks in Federated Learning Jun 7, 2022 Federated Learning
— Unverified 0 Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing Mar 10, 2025 Fairness Federated Learning
— Unverified 0 Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning Oct 27, 2023 Federated Learning
— Unverified 0 Submodular Maximization Approaches for Equitable Client Selection in Federated Learning Aug 24, 2024 Fairness Federated Learning
— Unverified 0 Subspace based Federated Unlearning Feb 24, 2023 Federated Learning
— Unverified 0 Subspace Recovery from Heterogeneous Data with Non-isotropic Noise Oct 24, 2022 Federated Learning
— Unverified 0 Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning Oct 25, 2019 BIG-bench Machine Learning Federated Learning
— Unverified 0 Subword Embedding from Bytes Gains Privacy without Sacrificing Accuracy and Complexity Oct 21, 2024 Federated Learning Language Modeling
— Unverified 0 Summary of Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images Dec 19, 2024 Federated Learning whole slide images
— Unverified 0 SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference Jan 26, 2023 Federated Learning Neural Architecture Search
— Unverified 0 Supersonic OT: Fast Unconditionally Secure Oblivious Transfer Jun 21, 2024 Federated Learning
— Unverified 0 Support Vector Based Anomaly Detection in Federated Learning Jul 4, 2024 Anomaly Detection Federated Learning
— Unverified 0 Suppressing Noise from Built Environment Datasets to Reduce Communication Rounds for Convergence of Federated Learning Sep 3, 2022 Federated Learning Privacy Preserving
— Unverified 0 Survey of Federated Learning Models for Spatial-Temporal Mobility Applications May 9, 2023 Community Detection Federated Learning
— Unverified 0 Survey of Personalization Techniques for Federated Learning Mar 19, 2020 BIG-bench Machine Learning Federated Learning
— Unverified 0 Survey of Privacy Threats and Countermeasures in Federated Learning Feb 1, 2024 Federated Learning Survey
— Unverified 0 Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks Oct 16, 2023 Adversarial Attack Federated Learning
— Unverified 0 Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Jan 20, 2022 Adversarial Attack Federated Learning
— Unverified 0 SusFL: Energy-Aware Federated Learning-based Monitoring for Sustainable Smart Farms Feb 15, 2024 Data Poisoning Federated Learning
— Unverified 0 Sustainable Federated Learning Feb 22, 2021 BIG-bench Machine Learning Federated Learning
— Unverified 0 S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning Jan 31, 2025 Federated Learning Privacy Preserving
— Unverified 0 Swarm Intelligence-Driven Client Selection for Federated Learning in Cybersecurity applications Nov 28, 2024 Federated Learning Intrusion Detection
— Unverified 0 Swarm Learning: A Survey of Concepts, Applications, and Trends May 1, 2024 Federated Learning Management
— Unverified 0 SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning Mar 24, 2022 Federated Learning Privacy Preserving
— Unverified 0 SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees Feb 8, 2022 Federated Learning Privacy Preserving
— Unverified 0 Switch-Based Multi-Part Neural Network Apr 25, 2025 Edge-computing Federated Learning
— Unverified 0 Sybil-based Virtual Data Poisoning Attacks in Federated Learning May 15, 2025 Data Poisoning Federated Learning
— Unverified 0 SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization Jun 11, 2025 Federated Learning
— Unverified 0 Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks Apr 14, 2023 Fairness Federated Learning
— Unverified 0 Synergizing AI and Digital Twins for Next-Generation Network Optimization, Forecasting, and Security Mar 8, 2025 Federated Learning Reinforcement Learning (RL)
— Unverified 0 Synesthesia of Machines (SoM)-Aided FDD Precoding with Sensing Heterogeneity: A Vertical Federated Learning Approach Jan 19, 2025 Federated Learning Vertical Federated Learning
— Unverified 0 Synesthesia of Machines (SoM)-Aided Online FDD Precoding via Heterogeneous Multi-Modal Sensing: A Vertical Federated Learning Approach Jun 9, 2025 Federated Learning Vertical Federated Learning
— Unverified 0 Synthetic Data Aided Federated Learning Using Foundation Models Jul 6, 2024 Data Augmentation Federated Learning
— Unverified 0 TabVFL: Improving Latent Representation in Vertical Federated Learning Apr 27, 2024 Federated Learning Representation Learning
— Unverified 0 Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates Feb 20, 2024 Federated Learning image-classification
— Unverified 0 Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Jul 12, 2023 Federated Learning
— Unverified 0 Tackling Data Heterogeneity in Federated Time Series Forecasting Nov 24, 2024 Federated Learning Privacy Preserving
— Unverified 0 Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal Oct 19, 2021 Federated Learning Incremental Learning
— Unverified 0 Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation Jul 23, 2024 Contrastive Learning Federated Learning
— Unverified 0 Tackling Heterogeneity in Medical Federated learning via Vision Transformers Oct 13, 2023 Federated Learning
— Unverified 0 Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling Dec 21, 2021 Federated Learning
— Unverified 0 Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Sep 13, 2023 Federated Learning Privacy Preserving
— Unverified 0 Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation Sep 29, 2024 Federated Learning Knowledge Distillation
— Unverified 0 Take History as a Mirror in Heterogeneous Federated Learning Dec 16, 2023 Federated Learning
— Unverified 0 Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space Jul 26, 2023 Federated Learning Personalized Federated Learning
— Unverified 0 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains Mar 14, 2024 Clustering Federated Learning
— Unverified 0 Taming Fat-Tailed ("Heavier-Tailed'' with Potentially Infinite Variance) Noise in Federated Learning Oct 3, 2022 Federated Learning
— Unverified 0 Taming Gradient Variance in Federated Learning with Networked Control Variates Oct 26, 2023 Federated Learning
— Unverified 0 TAMUNA: Doubly Accelerated Distributed Optimization with Local Training, Compression, and Partial Participation Feb 20, 2023 Distributed Optimization Federated Learning
— Unverified 0 TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Jan 9, 2025 Federated Learning Privacy Preserving
— Unverified 0 