arxiv
PublishedJune 26, 2026 at 4:00 AM
Federated Hash Projected Latent Factor Learning
Publisher summary· verbatim
arXiv:2606.26192v1 Announce Type: new Abstract: Hash Learning (HL) is an efficient representation learning approach that maps real-valued data into compact binary representations. Traditional HL methods typically require users to upload personal data to a central server, which is incompatible with i
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Originally published on arxiv ↗