3 citations · 5 across the 9 of their papers we have counts for
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cs.LG2023
Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing
Tahseen Rabbani, Marco Bornstein, Furong Huang
Locality-sensitive hashing (LSH) based frameworks have been used efficiently to select weight vectors in a dense hidden layer with high cosine similarity to an input, enabling dyna…
cs.LG2021★ 1 cited
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching
Tahseen Rabbani, Brandon Feng, Marco Bornstein +5
Federated learning (FL) is a popular paradigm for private and collaborative model training on the edge. In centralized FL, the parameters of a global architecture (such as a deep n…