Heterogeneity for the Win: One-Shot Federated Clustering

1 March 2021

Papers citing "Heterogeneity for the Win: One-Shot Federated Clustering"

21 / 71 papers shown

Title
Machine Unlearning of Federated Clusters Chao Pan Jin Sima Saurav Prakash Vishal Rana O. Milenkovic FedML MU 41 25 0 28 Oct 2022
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 34 31 0 14 Oct 2022
Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning Jonathan Scott Michelle Yeo Christoph H. Lampert FedML 29 0 0 12 Oct 2022
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks Mahdi Morafah Saeed Vahidian Chong Chen M. Shah Bill Lin FedML 62 47 0 30 Sep 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning Gergely Németh M. Lozano Novi Quadrianto Nuria Oliver FedML 110 14 0 27 Sep 2022
A One-shot Framework for Distributed Clustered Learning in Heterogeneous Environments Aleksandar Armacki Dragana Bajović D. Jakovetić S. Kar FedML 44 5 0 22 Sep 2022
Secure Federated Clustering Songze Li Sizai Hou Baturalp Buyukates A. Avestimehr FedML 23 9 0 31 May 2022
Combating Client Dropout in Federated Learning via Friend Model Substitution Heqiang Wang Jie Xu FedML 25 5 0 26 May 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering Ekdeep Singh Lubana Chi Ian Tang F. Kawsar Robert P. Dick Akhil Mathur FedML 40 52 0 23 May 2022
Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients Nan Lu Zhao Wang Xiaoxiao Li Gang Niu Qianming Dou Masashi Sugiyama FedML 27 40 0 07 Apr 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 16 21 0 17 Feb 2022
On the Convergence of Clustered Federated Learning Ma Jie Guodong Long Dinesh Manocha Jing Jiang Chengqi Zhang FedML 39 46 0 13 Feb 2022
Towards Federated Clustering: A Federated Fuzzy $c$ -Means Algorithm (FFCM) Morris Stallmann A. Wilbik FedML 35 37 0 18 Jan 2022
DENSE: Data-Free One-Shot Federated Learning Jie M. Zhang Chen Chen Bo-wen Li Lingjuan Lyu Shuang Wu Shouhong Ding Chunhua Shen Chao Wu FedML DD 34 104 0 23 Dec 2021
Exploiting Heterogeneity in Robust Federated Best-Arm Identification A. Mitra Hamed Hassani George Pappas FedML 39 26 0 13 Sep 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 45 402 0 05 Apr 2021
Federated Learning with Taskonomy for Non-IID Data Hadi Jamali Rad Mohammad Abdizadeh Anuj Singh FedML 48 54 0 29 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
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
FedEval: A Holistic Evaluation Framework for Federated Learning Di Chai Leye Wang Liu Yang Junxue Zhang Kai Chen Qian Yang FedML 30 8 0 19 Nov 2020