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Compositional federated learning: Applications in distributionally
  robust averaging and meta learning

Compositional federated learning: Applications in distributionally robust averaging and meta learning

21 June 2021
Feihu Huang
Junyi Li
    FedML
ArXivPDFHTML

Papers citing "Compositional federated learning: Applications in distributionally robust averaging and meta learning"

13 / 13 papers shown
Title
FedDRO: Federated Compositional Optimization for Distributionally Robust
  Learning
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning
Prashant Khanduri
Chengyin Li
Rafi Ibn Sultan
Yao Qiang
Joerg Kliewer
Dongxiao Zhu
34
0
0
21 Nov 2023
Federated Conditional Stochastic Optimization
Federated Conditional Stochastic Optimization
Xidong Wu
Jianhui Sun
Zhengmian Hu
Junyi Li
Aidong Zhang
Heng-Chiao Huang
FedML
36
4
0
04 Oct 2023
Federated Multi-Sequence Stochastic Approximation with Local
  Hypergradient Estimation
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
Davoud Ataee Tarzanagh
Mingchen Li
Pranay Sharma
Samet Oymak
24
0
0
02 Jun 2023
Federated Compositional Deep AUC Maximization
Federated Compositional Deep AUC Maximization
Xinwen Zhang
Yihang Zhang
Tianbao Yang
Richard Souvenir
Hongchang Gao
FedML
22
7
0
20 Apr 2023
Faster Adaptive Momentum-Based Federated Methods for Distributed
  Composition Optimization
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization
Feihu Huang
FedML
20
1
0
03 Nov 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent
  Embeddings
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Junyi Li
Heng-Chiao Huang
FedML
24
6
0
25 Oct 2022
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over
  Graphs
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs
Chaouki Ben Issaid
Anis Elgabli
M. Bennis
FedML
OOD
43
4
0
29 Aug 2022
Communication-Efficient Robust Federated Learning with Noisy Labels
Communication-Efficient Robust Federated Learning with Noisy Labels
Junyi Li
Jian Pei
Heng Huang
FedML
18
18
0
11 Jun 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh
Mingchen Li
Christos Thrampoulidis
Samet Oymak
FedML
40
73
0
04 May 2022
Solving Stochastic Compositional Optimization is Nearly as Easy as
  Solving Stochastic Optimization
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
Tianyi Chen
Yuejiao Sun
W. Yin
48
81
0
25 Aug 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
212
542
0
30 Mar 2020
Compositional ADAM: An Adaptive Compositional Solver
Compositional ADAM: An Adaptive Compositional Solver
Rasul Tutunov
Minne Li
Alexander I. Cowen-Rivers
Jun Wang
Haitham Bou-Ammar
ODL
51
16
0
10 Feb 2020
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
332
11,684
0
09 Mar 2017
1