| Scalable Differentially Private Clustering via Hierarchically Separated Trees | Jun 17, 2022 | ClusteringDimensionality Reduction | —Unverified | 0 | 0 |
| Scalable Teacher Forcing Network for Semi-Supervised Large Scale Data Streams | Jun 26, 2021 | Data AugmentationDistributed Computing | —Unverified | 0 | 0 |
| Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules | Jul 22, 2022 | Distributed ComputingManagement | —Unverified | 0 | 0 |
| Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case | Aug 2, 2023 | Data IntegrationDistributed Computing | —Unverified | 0 | 0 |
| Secure Resource Allocation via Constrained Deep Reinforcement Learning | Jan 20, 2025 | Deep Reinforcement LearningDistributed Computing | —Unverified | 0 | 0 |
| Securing O-RAN Open Interfaces | Apr 23, 2024 | Distributed Computing | —Unverified | 0 | 0 |
| MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services | May 20, 2022 | CPUDistributed Computing | —Unverified | 0 | 0 |
| Sequential Gradient Coding For Straggler Mitigation | Nov 24, 2022 | Distributed Computing | —Unverified | 0 | 0 |
| Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products | Dec 1, 2016 | Distributed Computing | —Unverified | 0 | 0 |
| Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities | Feb 15, 2023 | Distributed Computing | —Unverified | 0 | 0 |
| Simplicial Models for the Epistemic Logic of Faulty Agents | Nov 2, 2023 | Distributed Computing | —Unverified | 0 | 0 |
| Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective | Jul 17, 2020 | Community DetectionDistributed Computing | —Unverified | 0 | 0 |
| SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks | Mar 26, 2022 | Distributed ComputingFederated Learning | —Unverified | 0 | 0 |
| SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies | Apr 8, 2022 | Distributed ComputingGenerative Adversarial Network | —Unverified | 0 | 0 |
| Solving Billion-Scale Knapsack Problems | Feb 2, 2020 | Distributed Computing | —Unverified | 0 | 0 |
| Sparse L^1-Autoencoders for Scientific Data Compression | May 23, 2024 | compressed sensingData Compression | —Unverified | 0 | 0 |
| Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms | Jun 24, 2015 | Collaborative FilteringDistributed Computing | —Unverified | 0 | 0 |
| SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems | Apr 10, 2022 | 3D ClassificationDistributed Computing | —Unverified | 0 | 0 |
| Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems | Aug 28, 2024 | Distributed Computing | —Unverified | 0 | 0 |
| Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction | Aug 25, 2023 | Distributed ComputingGPU | —Unverified | 0 | 0 |
| Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization | Mar 11, 2020 | Distributed Computing | —Unverified | 0 | 0 |
| STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge | Jun 25, 2020 | Distributed Computingregression | —Unverified | 0 | 0 |
| Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case | Feb 23, 2024 | Distributed ComputingEdge-computing | —Unverified | 0 | 0 |
| Structural biology in the clouds: The WeNMR-EOSC Ecosystem | Jul 2, 2021 | CPUDistributed Computing | —Unverified | 0 | 0 |
| Structure-Aware Dynamic Scheduler for Parallel Machine Learning | Dec 19, 2013 | BIG-bench Machine LearningDistributed Computing | —Unverified | 0 | 0 |