MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning

11 May 2025

Papers citing "MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning"

25 / 25 papers shown

Title
Open-Vocabulary Federated Learning with Multimodal Prototyping Huimin Zeng Zhenrui Yue Dong Wang FedML VLM 74 1 0 01 Apr 2024
CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classification Shubham Gupta Nandini Saini Suman Kundu Debasis Das 41 7 0 11 Jan 2024
Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast Guangyin Bao Qi Zhang Duoqian Miao Zixuan Gong Liang Hu Ke Liu Yang Liu Chongyang Shi 54 10 0 21 Dec 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning Tiantian Feng Digbalay Bose Tuo Zhang Rajat Hebbar Anil Ramakrishna Rahul Gupta Mi Zhang Salman Avestimehr Shrikanth Narayanan 78 55 0 15 Jun 2023
Multimodal Federated Learning via Contrastive Representation Ensemble Qiying Yu Yang Liu Yimu Wang Ke Xu Jingjing Liu 72 86 0 17 Feb 2023
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev Chong Chen M. Shah Bill Lin FedML 86 49 0 21 Sep 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Chitwan Saharia William Chan Saurabh Saxena Lala Li Jay Whang ... Raphael Gontijo-Lopes Tim Salimans Jonathan Ho David J Fleet Mohammad Norouzi VLM 425 6,023 0 23 May 2022
Geometric Multimodal Contrastive Representation Learning Petra Poklukar Miguel Vasco Hang Yin Francisco S. Melo Ana Paiva Danica Kragic 56 50 0 07 Feb 2022
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating Yichen Ruan Carlee Joe-Wong FedML 68 95 0 11 Dec 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 322 870 0 01 Mar 2021
Heterogeneity for the Win: One-Shot Federated Clustering D. Dennis Tian Li Virginia Smith FedML 129 150 0 01 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 929 29,436 0 26 Feb 2021
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies Yae Jee Cho Jianyu Wang Gauri Joshi FedML 143 408 0 03 Oct 2020
An Efficient Framework for Clustered Federated Learning Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran FedML 68 860 0 07 Jun 2020
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response Ferda Ofli Firoj Alam Muhammad Imran 39 100 0 14 Apr 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 177 1,437 0 29 Feb 2020
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework Qiong Wu Kaiwen He Xu Chen 67 285 0 25 Feb 2020
Three Approaches for Personalization with Applications to Federated Learning Yishay Mansour M. Mohri Jae Hun Ro A. Suresh FedML 131 576 0 25 Feb 2020
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 146 1,005 0 04 Oct 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 140 2,334 0 04 Jul 2019
Robust Federated Learning in a Heterogeneous Environment Avishek Ghosh Justin Hong Dong Yin Kannan Ramchandran OOD FedML 58 217 0 16 Jun 2019
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 120 1,404 0 23 Apr 2018
Stacked Cross Attention for Image-Text Matching Kuang-Huei Lee Xi Chen G. Hua Houdong Hu Xiaodong He 81 1,151 0 21 Mar 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,764 0 25 Oct 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016