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| 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 |
