Showing 1–12 of 12 results
/ Date/ Name
Mar 23, 2024Understanding The Effectiveness of Lossy Compression in Machine Learning Training SetsAug 4, 2025Precision-Aware Video Compression for Reducing Bandwidth Requirements in Video Communication for Vehicle Detection-Based ApplicationsNov 27, 2021Exploring Lossy Compressibility through Statistical Correlations of Scientific DatasetsMay 15, 2023Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific DataJan 17, 2020FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point DataDec 20, 2023FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning CommunicationsApr 3, 2024A Survey on Error-Bounded Lossy Compression for Scientific DatasetsDec 30, 2025Understanding LLM Checkpoint/Restore I/O Strategies and PatternsJan 29, 2020Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety ApplicationsDec 4, 2021Towards Aggregated Asynchronous CheckpointingNov 4, 2021SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy CompressorsOct 30, 2024To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O