FedGradNorm: Personalized Federated Gradient-Normalized Multi-Task Learning

24 March 2022

Papers citing "FedGradNorm: Personalized Federated Gradient-Normalized Multi-Task Learning"

11 / 11 papers shown

Title
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 97 33 0 01 Jan 2023
Exploiting Shared Representations for Personalized Federated Learning Liam Collins Hamed Hassani Aryan Mokhtari Sanjay Shakkottai FedML OOD 101 719 0 14 Feb 2021
Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification Anu Jagannath Jithin Jagannath 35 30 0 25 Jan 2021
Bilevel Optimization: Convergence Analysis and Enhanced Design Kaiyi Ji Junjie Yang Yingbin Liang 189 258 0 15 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 199 621 0 10 Sep 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 299 556 0 30 Mar 2020
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 87 838 0 02 Dec 2019
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 158 1,284 0 07 Nov 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 600 2,228 0 25 Jul 2017
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications Ankur Sinha P. Malo Kalyanmoy Deb 46 755 0 17 May 2017
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,435 0 24 Jun 2012