Tag: quantization

Binary neural networks have long promised to bring deep learning to the smallest and most power-hungry devices on the planet. ...

A new survey from the National University of Defense Technology systematically compares distributed parallelism and memory-saving techniques that make large ...

Researchers at Jerash University have developed an energy-aware federated deep learning framework that cuts per-round energy use by about 43 ...

A new study systematically benchmarks five CNN compression techniques across GPUs, CPUs, and noisy data, finding that the best choice ...

A new federated framework fine-tunes the Segment Anything Model for multi-organ segmentation by training only tiny low-rank adapters on quantized ...

A new study finds that the locally deployable Gemma 3 27B model scores highly on a German introductory physics benchmark ...

A new theoretical framework trains neural networks natively on the Leech lattice, compressing weights to 0.76 bits per parameter while ...

Researchers at the National University of Defense Technology have systematically surveyed memory-efficient training techniques for large Transformer models, showing how ...