Federated Learning with Taskonomy for Non-IID Data

29 March 2021

Papers citing "Federated Learning with Taskonomy for Non-IID Data"

7 / 7 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 35 31 0 01 Jan 2023
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 24 31 0 14 Oct 2022
Federated Learning with Server Learning: Enhancing Performance for Non-IID Data V. Mai R. La Tao Zhang FedML OOD 35 7 0 06 Oct 2022
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev C. L. P. Chen M. Shah Bill Lin FedML 44 45 0 21 Sep 2022
Flexible Vertical Federated Learning with Heterogeneous Parties Timothy Castiglia Shiqiang Wang S. Patterson FedML 22 34 0 26 Aug 2022
Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue Jon M. Kleinberg FedML 11 45 0 17 Jun 2021
Device Heterogeneity in Federated Learning: A Superquantile Approach Yassine Laguel Krishna Pillutla J. Malick Zaïd Harchaoui FedML 32 22 0 25 Feb 2020