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Local Stochastic Bilevel Optimization with Momentum-Based Variance
  Reduction

Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction

3 May 2022
Junyi Li
Feihu Huang
Heng-Chiao Huang
    FedML
ArXiv (abs)PDFHTML

Papers citing "Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction"

20 / 20 papers shown
Accelerated Fully First-Order Methods for Bilevel and Minimax
  Optimization
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization
Chris Junchi Li
487
0
0
01 May 2024
On the Communication Complexity of Decentralized Bilevel Optimization
On the Communication Complexity of Decentralized Bilevel Optimization
Yihan Zhang
My T. Thai
Jie Wu
Hongchang Gao
608
6
0
19 Nov 2023
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning
  from Human Feedback
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human FeedbackInternational Conference on Learning Representations (ICLR), 2023
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Dinesh Manocha
Huazheng Wang
Mengdi Wang
Furong Huang
422
41
0
03 Aug 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
341
0
0
02 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated
  Bilevel Learning
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel LearningNeural Information Processing Systems (NeurIPS), 2023
Yifan Yang
Peiyao Xiao
Kaiyi Ji
FedML
570
24
0
30 May 2023
Partially Personalized Federated Learning: Breaking the Curse of Data
  Heterogeneity
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity
Konstantin Mishchenko
Rustem Islamov
Eduard A. Gorbunov
Samuel Horváth
FedML
303
13
0
29 May 2023
Achieving Linear Speedup in Non-IID Federated Bilevel Learning
Achieving Linear Speedup in Non-IID Federated Bilevel LearningInternational Conference on Machine Learning (ICML), 2023
Minhui Huang
Dewei Zhang
Kaiyi Ji
FedML
304
33
0
10 Feb 2023
Communication-Efficient Federated Hypergradient Computation via
  Aggregated Iterative Differentiation
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative DifferentiationInternational Conference on Machine Learning (ICML), 2023
Peiyao Xiao
Kaiyi Ji
FedML
294
17
0
09 Feb 2023
Alternating Implicit Projected SGD and Its Efficient Variants for
  Equality-constrained Bilevel Optimization
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization
Quan-Wu Xiao
Han Shen
W. Yin
Tianyi Chen
307
12
0
14 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel
  Programming
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
446
5
0
08 Nov 2022
Fast Adaptive Federated Bilevel Optimization
Fast Adaptive Federated Bilevel Optimization
Feihu Huang
FedML
423
7
0
02 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
222
8
0
25 Oct 2022
Decentralized Stochastic Bilevel Optimization with Improved
  per-Iteration Complexity
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration ComplexityInternational Conference on Machine Learning (ICML), 2022
Xuxing Chen
Minhui Huang
Shiqian Ma
Krishnakumar Balasubramanian
370
38
0
23 Oct 2022
Decentralized Hyper-Gradient Computation over Time-Varying Directed
  Networks
Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks
Naoyuki Terashita
Satoshi Hara
FedML
306
2
0
05 Oct 2022
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit
  Model Identification
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model IdentificationInternational Conference on Information and Knowledge Management (CIKM), 2022
Runxue Bao
Bin Gu
Heng-Chiao Huang
303
18
0
11 Aug 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization
Yan Huang
Qihang Lin
N. Street
Stephen Seung-Yeob Baek
FedML
232
10
0
21 Jul 2022
Communication-Efficient Robust Federated Learning with Noisy Labels
Communication-Efficient Robust Federated Learning with Noisy LabelsKnowledge Discovery and Data Mining (KDD), 2022
Junyi Li
Jian Pei
Heng Huang
FedML
238
25
0
11 Jun 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task
  Deep AUC Maximization
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC MaximizationNeural Information Processing Systems (NeurIPS), 2022
Quanqi Hu
Yongjian Zhong
Tianbao Yang
449
19
0
01 Jun 2022
On the Convergence of Momentum-Based Algorithms for Federated Bilevel
  Optimization Problems
On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems
Hongchang Gao
FedML
282
1
0
28 Apr 2022
Penalty Method for Inversion-Free Deep Bilevel Optimization
Penalty Method for Inversion-Free Deep Bilevel OptimizationAsian Conference on Machine Learning (ACML), 2019
Akshay Mehra
Jihun Hamm
1.0K
52
0
08 Nov 2019
1
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