The main cause of high latency in LLMs is the sequential decoding process, which autoregressively generates all labels and mentions for NER, significantly increase the sequence length.

However, it was recently shown that gradient inversion attacks can reconstruct this data from the shared gradients.

We present an alternative approach to decompose non-negative tensors, called many-body approximation .

Recognition (ASR), we show strong baseline performance on predicting key-presses using sEMG signals alone.