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Improving Federated Learning Personalization via Model Agnostic Meta Learning

27 September 2019

Papers citing "Improving Federated Learning Personalization via Model Agnostic Meta Learning"

20 / 20 papers shown

Title
Byzantine Resilient Federated Multi-Task Representation Learning Tuan Le Shana Moothedath 102 0 0 24 Mar 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 215 12 0 17 Jan 2025
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models Xiaochen Wang Jiaqi Wang Houping Xiao Jianfei Chen Fenglong Ma MedIm 141 8 0 17 Aug 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 105 3 0 16 Jan 2024
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models K. Sim P. Zadrazil F. Beaufays 70 58 0 14 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 123 4,530 0 21 Aug 2019
Lookahead Optimizer: k steps forward, 1 step back Michael Ruogu Zhang James Lucas Geoffrey E. Hinton Jimmy Ba ODL 147 732 0 19 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 147 2,343 0 04 Jul 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 92 356 0 06 Jun 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 121 2,670 0 04 Feb 2019
Expanding the Reach of Federated Learning by Reducing Client Resource Requirements S. Caldas Jakub Konecný H. B. McMahan Ameet Talwalkar 71 450 0 18 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 149 1,422 0 03 Dec 2018
Federated Learning for Mobile Keyboard Prediction Andrew Straiton Hard Kanishka Rao Zhifeng Lin Swaroop Indra Ramaswamy Youjie Li S. Augenstein Alex Schwing M. Annavaram A. Avestimehr FedML 136 1,545 0 08 Nov 2018
How to train your MAML Antreas Antoniou Harrison Edwards Amos Storkey 74 777 0 22 Oct 2018
Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD Jianyu Wang Gauri Joshi FedML 81 232 0 19 Oct 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 230 2,237 0 08 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,937 0 09 Mar 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 306 4,649 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 143 1,902 0 08 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016