| FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization | Nov 29, 2021 | Distributed ComputingFederated Learning | —Unverified | 0 | 0 |
| A Highly Effective Low-Rank Compression of Deep Neural Networks with Modified Beam-Search and Modified Stable Rank | Nov 30, 2021 | Low-rank compressionQuantization | —Unverified | 0 | 0 |
| AntMan: Sparse Low-Rank Compression to Accelerate RNN inference | Oct 2, 2019 | Knowledge DistillationLow-rank compression | —Unverified | 0 | 0 |
| Approximate FPGA-based LSTMs under Computation Time Constraints | Jan 7, 2018 | Autonomous VehiclesImage Captioning | —Unverified | 0 | 0 |
| Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applications | May 24, 2024 | Code GenerationLow-rank compression | —Unverified | 0 | 0 |
| Cognitive Memory in Large Language Models | Apr 3, 2025 | Low-rank compressionMamba | —Unverified | 0 | 0 |
| Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression | Apr 26, 2021 | Federated LearningLow-rank compression | —Unverified | 0 | 0 |
| Data-aware Low-Rank Compression for Large NLP Models | Jan 1, 2021 | Low-rank compressionMRPC | —Unverified | 0 | 0 |
| DRONE: Data-aware Low-rank Compression for Large NLP Models | Dec 1, 2021 | Low-rank compressionMRPC | —Unverified | 0 | 0 |
| Dynamical Low-Rank Compression of Neural Networks with Robustness under Adversarial Attacks | May 12, 2025 | Adversarial RobustnessLow-rank compression | —Unverified | 0 | 0 |
