Three Approaches for Personalization with Applications to Federated
Learning

Three Approaches for Personalization with Applications to Federated Learning

25 February 2020

Papers citing "Three Approaches for Personalization with Applications to Federated Learning"

19 / 119 papers shown

Title
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications Sangsu Lee Xi Zheng Jie Hua H. Vikalo Christine Julien FedML 23 25 0 24 Mar 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson R. Harpaz Steve Bright FedML 10 9 0 12 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 38 324 0 08 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
Heterogeneity for the Win: One-Shot Federated Clustering D. Dennis Tian Li Virginia Smith FedML 22 146 0 01 Mar 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 37 76 0 25 Feb 2021
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts Binbin Guo Yuan Mei Danyang Xiao Weigang Wu Ye Yin Hongli Chang MoE 47 22 0 31 Dec 2020
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 35 37 0 16 Dec 2020
Lower Bounds and Optimal Algorithms for Personalized Federated Learning Filip Hanzely Slavomír Hanzely Samuel Horváth Peter Richtárik FedML 41 186 0 05 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 24 543 0 03 Oct 2020
LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets Ang Li Jingwei Sun Binghui Wang Lin Duan Sicheng Li Yiran Chen H. Li FedML 8 125 0 07 Aug 2020
Federated Learning with Compression: Unified Analysis and Sharp Guarantees Farzin Haddadpour Mohammad Mahdi Kamani Aryan Mokhtari M. Mahdavi FedML 30 271 0 02 Jul 2020
Federated Learning Meets Multi-objective Optimization Zeou Hu K. Shaloudegi Guojun Zhang Yaoliang Yu FedML 21 89 0 20 Jun 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 0 30 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 182 326 0 19 Mar 2020
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 6 556 0 01 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
New Analysis and Algorithm for Learning with Drifting Distributions M. Mohri Andrés Munoz Medina 97 123 0 19 May 2012
Domain Adaptation: Learning Bounds and Algorithms Yishay Mansour M. Mohri Afshin Rostamizadeh 179 789 0 19 Feb 2009