Cluster-driven Graph Federated Learning over Multiple Domains

Cluster-driven Graph Federated Learning over Multiple Domains

29 April 2021

Debora Caldarola

Massimiliano Mancini

Emanuele Rodolà

Papers citing "Cluster-driven Graph Federated Learning over Multiple Domains"

18 / 18 papers shown

Title
Federated Temporal Graph Clustering Yang Liu Zhenhong Zhou Xianghong Xu Yue Liu FedML 79 0 0 16 Oct 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations Guogang Zhu Xuefeng Liu Jianwei Niu Shaojie Tang Xinghao Wu Jiayuan Zhang AI4CE 66 1 0 25 Jul 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 46 16 0 26 May 2024
Collaborative Visual Place Recognition through Federated Learning Mattia Dutto Gabriele Berton Debora Caldarola Eros Fani Gabriele Trivigno Carlo Masone FedML 32 1 0 20 Apr 2024
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach Kai Li Jingjing Zheng Xinnan Yuan W. Ni Ozgur B. Akan H. Vincent Poor AAML 27 15 0 30 Nov 2023
Graph Federated Learning Based on the Decentralized Framework P. Liu Yanni Tang Mingyue Zhang Wu Chen FedML 30 0 0 19 Jul 2023
Domain-Generalizable Multiple-Domain Clustering Amit Rozner Barak Battash Lior Wolf Ofir Lindenbaum SSL OOD 46 8 0 31 Jan 2023
Graph Federated Learning for CIoT Devices in Smart Home Applications Arash Rasti-Meymandi S. M. Sheikholeslami J. Abouei Konstantinos N. Plataniotis FedML 22 18 0 29 Dec 2022
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning Donald Shenaj Eros Fani Marco Toldo Debora Caldarola A. Tavera Umberto Michieli Marco Ciccone Pietro Zanuttigh Barbara Caputo FedML 29 39 0 05 Oct 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 36 35 0 24 Jul 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving Lidia Fantauzzo Eros Fani Debora Caldarola A. Tavera Fabio Cermelli Marco Ciccone Barbara Caputo FedML 36 52 0 28 Feb 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients Riccardo Zaccone Andrea Rizzardi Debora Caldarola Marco Ciccone Barbara Caputo FedML 58 14 0 26 Jan 2022
Towards Federated Clustering: A Federated Fuzzy $c$ -Means Algorithm (FFCM) Morris Stallmann A. Wilbik FedML 32 37 0 18 Jan 2022
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue Jon M. Kleinberg FedML 13 45 0 17 Jun 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 88 116 0 08 Dec 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017