On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms

27 August 2019

Asuman Ozdaglar

Papers citing "On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms"

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Title
A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees Mohammad Vahid Jamali Hamid Saber J. Bae FedML 39 0 0 30 Apr 2025
A New First-Order Meta-Learning Algorithm with Convergence Guarantees El Mahdi Chayti Martin Jaggi 30 1 0 05 Sep 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 59 7 0 28 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 52 0 0 23 Jul 2024
Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction Jiayang Shi Junyi Zhu D. Pelt K. Batenburg Matthew B. Blaschko 35 3 0 03 May 2024
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 29 9 0 13 Oct 2023
Meta-Learning Adversarial Bandit Algorithms M. Khodak Ilya Osadchiy Keegan Harris Maria-Florina Balcan Kfir Y. Levy Ron Meir Zhiwei Steven Wu FedML 28 2 0 05 Jul 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes Taha Toghani Sebastian Perez-Salazar César A. Uribe 34 2 0 20 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 49 15 0 27 Apr 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients Yilang Zhang Bingcong Li Shi-Ji Gao G. Giannakis BDL 21 9 0 31 Mar 2023
Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach Yunfei Ge Tao Li Quanyan Zhu AAML 26 18 0 06 Mar 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 32 5 0 17 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 31 3 0 04 Jan 2023
Personalized Federated Learning with Hidden Information on Personalized Prior Mingjia Shi Yuhao Zhou Qing Ye Jiancheng Lv FedML 29 3 0 19 Nov 2022
Federated Fuzzy Neural Network with Evolutionary Rule Learning Leijie Zhang Ye-ling Shi Yu-Cheng Chang Chin-Teng Lin FedML 26 15 0 26 Oct 2022
An Improved Algorithm for Clustered Federated Learning Harsh Vardhan A. Ghosh A. Mazumdar FedML 34 8 0 20 Oct 2022
PersA-FL: Personalized Asynchronous Federated Learning Taha Toghani Soomin Lee César A. Uribe FedML 34 6 0 03 Oct 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Qiufeng Wang DD FedML 30 28 0 29 Sep 2022
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks Chaoqun You Daquan Feng Kun Guo Howard H. Yang Tony Q.S. Quek 38 12 0 27 Sep 2022
Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen Xiaolong Wang AI4CE 24 60 0 04 Aug 2022
Provable Generalization of Overparameterized Meta-learning Trained with SGD Yu Huang Yingbin Liang Longbo Huang MLT 26 8 0 18 Jun 2022
Straggler-Resilient Personalized Federated Learning Isidoros Tziotis Zebang Shen Ramtin Pedarsani Hamed Hassani Aryan Mokhtari FedML 33 9 0 05 Jun 2022
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 35 8 0 23 May 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning Haoxiang Wang Yite Wang Ruoyu Sun Bo-wen Li 29 27 0 17 Mar 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 30 8 0 28 Jan 2022
Dynamic Channel Access via Meta-Reinforcement Learning Ziyang Lu M. C. Gursoy 20 4 0 24 Dec 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 26 28 0 13 Oct 2021
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond Risheng Liu Yaohua Liu Shangzhi Zeng Jin Zhang 21 80 0 01 Oct 2021
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 32 2 0 09 Sep 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 38 36 0 29 Jun 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 32 98 0 29 Jun 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation Haoxiang Wang Han Zhao Bo-wen Li 37 88 0 16 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
Debiasing a First-order Heuristic for Approximate Bi-level Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller AI4CE 19 5 0 04 Jun 2021
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction Shanyan Guan Jingwei Xu Yunbo Wang Bingbing Ni Xiaokang Yang 3DH 33 50 0 30 Mar 2021
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning Zachary B. Charles Jakub Konecný FedML 26 63 0 08 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 41 324 0 08 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 841 0 01 Mar 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 25 49 0 07 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 59 222 0 27 Jan 2021
Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning Sheng Yue Ju Ren Jiang Xin Sen Lin Junshan Zhang FedML 27 44 0 16 Dec 2020
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 48 81 0 25 Aug 2020
Submodular Meta-Learning Arman Adibi Aryan Mokhtari Hamed Hassani CLL 21 5 0 11 Jul 2020
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji J. Lee Yingbin Liang H. Vincent Poor 26 74 0 16 Jun 2020
UFO-BLO: Unbiased First-Order Bilevel Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller 32 7 0 05 Jun 2020
Weighted Meta-Learning Diana Cai Rishit Sheth Lester W. Mackey Nicolò Fusi 37 12 0 20 Mar 2020
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning Yifan Hu Siqi Zhang Xin Chen Niao He ODL 41 54 0 25 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 36 561 0 19 Feb 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning Kaiyi Ji Junjie Yang Yingbin Liang 25 49 0 18 Feb 2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems Osvaldo Simeone Sangwoo Park Joonhyuk Kang AI4CE 31 62 0 05 Jan 2020