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cs.GT2023
Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution
Marco Bornstein, Amrit Singh Bedi, Anit Kumar Sahu +2
Edge device participation in federating learning (FL) is typically studied through the lens of device-server communication (e.g., device dropout) and assumes an undying desire from…
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…