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Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning
  with Hierarchical Aggregation

Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation

27 March 2023
Rongyu Zhang
Xiaowei Chi
Guiliang Liu
Wenyi Zhang
Yuan Du
Fang Wang
ArXivPDFHTML

Papers citing "Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation"

11 / 11 papers shown
Title
FactorLLM: Factorizing Knowledge via Mixture of Experts for Large
  Language Models
FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models
Zhongyu Zhao
Menghang Dong
Rongyu Zhang
Wenzhao Zheng
Yunpeng Zhang
Huanrui Yang
Dalong Du
Kurt Keutzer
Shanghang Zhang
38
0
0
15 Aug 2024
Multi-level Personalized Federated Learning on Heterogeneous and
  Long-Tailed Data
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data
Rongyu Zhang
Yun Chen
Chenrui Wu
Fangxin Wang
Boyan Li
27
3
0
10 May 2024
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient
  Finetuning
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning
Yijiang Liu
Rongyu Zhang
Huanrui Yang
Kurt Keutzer
Yuan Du
Li Du
Shanghang Zhang
MoE
23
5
0
13 Apr 2024
VeCAF: Vision-language Collaborative Active Finetuning with Training
  Objective Awareness
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness
Rongyu Zhang
Zefan Cai
Huanrui Yang
Zidong Liu
Denis A. Gudovskiy
...
Kurt Keutzer
Baobao Chang
Yuan Du
Li Du
Shanghang Zhang
VLM
14
0
0
15 Jan 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual
  Test-Time Adaptation
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
Jiaming Liu
Ran Xu
Senqiao Yang
Renrui Zhang
Qizhe Zhang
Zehui Chen
Yandong Guo
Shanghang Zhang
TTA
14
6
0
19 Dec 2023
M$^{2}$Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image
  Generation
M2^{2}2Chat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation
Xiaowei Chi
Rongyu Zhang
Zhengkai Jiang
Yijiang Liu
Ziyi Lin
...
Chaoyou Fu
Peng Gao
Shanghang Zhang
Qi-fei Liu
Yi-Ting Guo
MLLM
20
1
0
29 Nov 2023
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video
  Representations
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Mohammadreza Zolfaghari
Yi Zhu
Peter V. Gehler
Thomas Brox
100
122
0
30 Sep 2021
Learning Modality-Specific Representations with Self-Supervised
  Multi-Task Learning for Multimodal Sentiment Analysis
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
Wenmeng Yu
Hua Xu
Ziqi Yuan
Jiele Wu
SSL
39
430
0
09 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
82
712
0
03 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
4,940
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
243
9,042
0
06 Jun 2015
1