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FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive
  Bi-directional Global Objective

FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective

28 September 2022
Ping Luo
Jieren Cheng
Zhenhao Liu
N. Xiong
Jie Wu
    FedML
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Papers citing "FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective"

2 / 2 papers shown
Title
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,677
0
09 Mar 2017
1