SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention Jan 27, 2023 Classification Federated Learning
— Unverified 0 SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dec 16, 2022 Federated Learning
— Unverified 0 Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics Aug 21, 2023 Computational Efficiency Deep Learning
— Unverified 0 Split Learning in 6G Edge Networks Jun 21, 2023 Edge-computing Federated Learning
— Unverified 0 SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Jul 1, 2024 Federated Learning parameter-efficient fine-tuning
— Unverified 0 Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability Mar 10, 2025 Deep Learning Federated Learning
— Unverified 0 Split Two-Tower Model for Efficient and Privacy-Preserving Cross-device Federated Recommendation Jun 28, 2022 Federated Learning Privacy Preserving
— Unverified 0 Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise Jul 15, 2025 Federated Learning
— Unverified 0 SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery Feb 29, 2024 Federated Learning
— Unverified 0 sqSGD: Locally Private and Communication Efficient Federated Learning Jun 21, 2022 Federated Learning Privacy Preserving
— Unverified 0 Sself: Robust Federated Learning against Stragglers and Adversaries Jan 1, 2021 Data Poisoning Federated Learning
— Unverified 0 SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Oct 6, 2021 Federated Learning Personalized Federated Learning
— Unverified 0 Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout Mar 11, 2023 Federated Learning
— Unverified 0 Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data May 13, 2024 Data Augmentation Federated Learning
— Unverified 0 StableFDG: Style and Attention Based Learning for Federated Domain Generalization Nov 1, 2023 Diversity Domain Generalization
— Unverified 0 Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks Jan 3, 2025 Federated Learning Problem Decomposition
— Unverified 0 Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems Sep 23, 2024 Federated Learning Vertical Federated Learning
— Unverified 0 Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection Jan 19, 2024 Federated Learning Fraud Detection
— Unverified 0 StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems May 20, 2024 Federated Learning Intrusion Detection
— Unverified 0 State-of-the-art Techniques in Deep Edge Intelligence Aug 3, 2020 Deep Learning Edge-computing
— Unverified 0 Statistical Estimation and Inference via Local SGD in Federated Learning Sep 3, 2021 Edge-computing Federated Learning
— Unverified 0 StatMix: Data augmentation method that relies on image statistics in federated learning Jul 8, 2022 Data Augmentation Federated Learning
— Unverified 0 STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning Jun 19, 2021 Federated Learning
— Unverified 0 ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation Mar 25, 2022 COVID-19 Diagnosis COVID-19 Image Segmentation
— Unverified 0 STHFL: Spatio-Temporal Heterogeneous Federated Learning Jan 10, 2025 Federated Learning
— Unverified 0 Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning Jan 28, 2024 Binary Classification Edge-computing
— Unverified 0 StochaLM: a Stochastic alternate Linearization Method for distributed optimization Apr 23, 2020 Distributed Optimization Federated Learning
— Unverified 0 Stochastic Approximation Approach to Federated Machine Learning Feb 20, 2024 Federated Learning
— Unverified 0 Stochastic Channel-Based Federated Learning for Medical Data Privacy Preserving Oct 23, 2019 Federated Learning Privacy Preserving
— Unverified 0 Stochastic Client Selection for Federated Learning with Volatile Clients Nov 17, 2020 Fairness Federated Learning
— Unverified 0 Stochastic Clustered Federated Learning Mar 2, 2023 Federated Learning
— Unverified 0 Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design Nov 8, 2022 Federated Learning Privacy Preserving
— Unverified 0 Stochastic Coded Federated Learning with Convergence and Privacy Guarantees Jan 25, 2022 Federated Learning Privacy Preserving
— Unverified 0 Stochastic Communication Avoidance for Recommendation Systems Nov 3, 2024 Federated Learning GPU
— Unverified 0 Stochastic Controlled Averaging for Federated Learning with Communication Compression Aug 16, 2023 Federated Learning
— Unverified 0 Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Feb 25, 2020 Federated Learning parameter estimation
— Unverified 0 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization Nov 2, 2023 Federated Learning
— Unverified 0 Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Dec 28, 2020 Federated Learning
— Unverified 0 Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Nov 16, 2023 Federated Learning
— Unverified 0 Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients Feb 12, 2021 Federated Learning
— Unverified 0 Strategic Client Selection to Address Non-IIDness in HAPS-enabled FL Networks Jan 10, 2024 Attribute Diversity
— Unverified 0 Stratified cross-validation for unbiased and privacy-preserving federated learning Jan 22, 2020 Federated Learning Privacy Preserving
— Unverified 0 Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling Apr 18, 2025 Federated Learning
— Unverified 0 Streaming Federated Learning with Markovian Data Mar 24, 2025 Federated Learning
— Unverified 0 Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Nov 28, 2024 Backdoor Attack Federated Learning
— Unverified 0 Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization May 13, 2024 Distributed Optimization Federated Learning
— Unverified 0 Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors Jan 31, 2022 Anomaly Detection Binary Classification
— Unverified 0 Study of the performance and scalability of federated learning for medical imaging with intermittent clients Jul 18, 2022 Federated Learning Medical Image Analysis
— Unverified 0 Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning Sep 28, 2024 Federated Learning Inference Attack
— Unverified 0 Subject Granular Differential Privacy in Federated Learning Jun 7, 2022 Federated Learning
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