3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2024
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
Vladimir Malinovskii, Denis Mazur, Ivan Ilin +5
There has been significant interest in "extreme" compression of large language models (LLMs), i.e., to 1-2 bits per parameter, which allows such models to be executed efficiently o…
cs.CR2023★ 3 cited
Federated Learning is Better with Non-Homomorphic Encryption
Konstantin Burlachenko, Abdulmajeed Alrowithi, Fahad Ali Albalawi +1
Traditional AI methodologies necessitate centralized data collection, which becomes impractical when facing problems with network communication, data privacy, or storage capacity.…