A New Look and Convergence Rate of Federated Multi-Task Learning with
Laplacian Regularization

A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization

14 February 2021

Papers citing "A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization"

10 / 10 papers shown

Title
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 44 1 0 24 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 85 7 0 17 Jan 2025
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information Emanuel Buttaci Giuseppe Carlo Calafiore FedML 16 0 0 07 Oct 2024
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 19 30 0 01 Jan 2023
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 14 1 0 23 Dec 2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 8 28 0 08 Jun 2022
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 180 535 0 30 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,690 0 18 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 177 523 0 27 Jun 2012