OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in
Distributed Learning

OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning

3 May 2021

Shuo Wang

Carsten Rudolph

Papers citing "OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning"

4 / 4 papers shown

Title
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking A. Abuadbba Nicholas Rhodes Kristen Moore Bushra Sabir Shuo Wang Yansong Gao AAML 16 2 0 01 Jul 2024
Federated Learning: Opportunities and Challenges P. Mammen FedML 44 210 0 14 Jan 2021
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 32 22 0 25 Feb 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,549 0 17 Apr 2017