Personalized Decentralized Federated Learning with Knowledge Distillation

23 February 2023

Papers citing "Personalized Decentralized Federated Learning with Knowledge Distillation"

15 / 15 papers shown

Title
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shan-shan Wu Tian Li Zachary B. Charles Yu Xiao Ziyu Liu Zheng Xu Virginia Smith FedML 101 45 0 18 Jun 2022
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 113 94 0 17 Nov 2021
Federated Multi-Task Learning under a Mixture of Distributions Othmane Marfoq Giovanni Neglia A. Bellet Laetitia Kameni Richard Vidal FedML 120 282 0 23 Aug 2021
Decentralized Personalized Federated Learning for Min-Max Problems Ekaterina Borodich Aleksandr Beznosikov Abdurakhmon Sadiev V. Sushko Nikolay Savelyev Martin Takávc Alexander Gasnikov FedML 74 4 0 14 Jun 2021
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 121 1,234 0 31 Mar 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 135 579 0 25 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 172 573 0 19 Feb 2020
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang Jakub Konecný Keith Rush Sreeram Kannan FedML 86 602 0 27 Sep 2019
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges Solmaz Niknam Harpreet S. Dhillon J. H. Reed 62 608 0 30 Jul 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 79 1,362 0 07 Mar 2019
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs Valentina Zantedeschi A. Bellet Marc Tommasi FedML 116 80 0 24 Jan 2019
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 329 408 0 09 Apr 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 240 2,238 0 08 Mar 2018
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 312 4,657 0 18 Oct 2016
Decentralized Collaborative Learning of Personalized Models over Networks Paul Vanhaesebrouck A. Bellet Marc Tommasi FedML 65 231 0 17 Oct 2016