High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions

24 February 2019

Papers citing "High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions"

5 / 5 papers shown

Title
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 59 1 0 20 Mar 2024
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
Train on Validation: Squeezing the Data Lemon Guy Tennenholtz Tom Zahavy Shie Mannor 24 8 0 16 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 457 11,715 0 09 Mar 2017
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 110 2,735 0 18 Aug 2015