| Protea: Client Profiling within Federated Systems using Flower | Jul 3, 2022 | Federated LearningGPU | —Unverified | 0 |
| ProTEA: Programmable Transformer Encoder Acceleration on FPGA | Sep 21, 2024 | GPUMachine Translation | —Unverified | 0 |
| Protecting Confidentiality, Privacy and Integrity in Collaborative Learning | Dec 11, 2024 | CPUGPU | —Unverified | 0 |
| ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning | Jun 9, 2025 | DiversityGPU | —Unverified | 0 |
| ProTrain: Efficient LLM Training via Memory-Aware Techniques | Jun 12, 2024 | CPUGPU | —Unverified | 0 |
| Providing Meaningful Data Summarizations Using Exemplar-based Clustering in Industry 4.0 | May 25, 2021 | ClusteringCPU | —Unverified | 0 |
| Proximal Gradient Descent Unfolding Dense-spatial Spectral-attention Transformer for Compressive Spectral Imaging | Dec 25, 2023 | GPU | —Unverified | 0 |
| Pruned RNN-T for fast, memory-efficient ASR training | Jun 23, 2022 | DecoderGPU | —Unverified | 0 |
| Prune or quantize? Strategy for Pareto-optimally low-cost and accurate CNN | Sep 25, 2019 | CPUGPU | —Unverified | 0 |
| Pruning Compact ConvNets for Efficient Inference | Jan 11, 2023 | GPUNetwork Pruning | —Unverified | 0 |
