BasedAI: A decentralized P2P network for Zero Knowledge Large Language Models (ZK-LLMs)

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

Original

Lim, B., Arik, S. O., Loeff, N., & Pfister, T. (2021) · 1912

Earlier work this paper cites.

A Fully Homomorphic Encryption Scheme

Gentry, C. (2009) · 2009

Earlier work this paper cites.

Recursive Composition and Bootstrapping for SNARKs and Proof-Carrying Data

Bitansky, N., Canetti, R., Chiesa, A., Tromer, E., & Vaikuntanathan, V. (2013) · 2013

Earlier work this paper cites.

SNARKs for C: Verifiable Computation with Efficient Proofs

Ben-Sasson, E., Chiesa, A., Genkin, D., Tromer, E., & Virza, M. (2014) · 2013

Cited alongside, same era.

Generative Adversarial Nets

Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014) · 2014

Cited alongside, same era.

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Han, S., Mao, H., & Dally, W. J. (2015) · 2015

Cited alongside, same era.

Attention Is All You Need

Original

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017) · 2017

Later among the works it cites.

Quantizing deep convolutional networks for efficient inference: A whitepaper

Original

Krishnamoorthi, R. (2018) · 2018

Later among the works it cites.

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Jacob, B., Kligys, S., Chen, B., Zhu, M., Tang, M., Howard, A., Adam, H., & Kalenichenko, D. (2018) · 2018

Later among the works it cites.