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Robust multimodal federated learning for incomplete modalities

Computer Communications(2024)10.1016/j.comcom.2023.12.003Source: DataRank Database

Robust multimodal federated learning for incomplete modalities is a research paper published in Computer Communications (2024). On theSindex it has a DataRank of 0.691. It has been cited 20 times, with 20 citing works in its 1-hop citation network.

N/A

0.691DataRank · unranked

Scored on demand from live citation data

20 citations · 20 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 2.72)OA: closedTopics (13)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 66%Citation Network 34%

Base Score Contribution

0.457

From this paper's citation signal

Citation Network Contribution

0.234

From 11 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 20 citers.

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization
20244 citations26 referencesContributes 0.062
Cross-Modal Meta Consensus for Heterogeneous Federated Learning
202410 citations42 referencesContributes 0.057
Decentralized Federated Learning with Multimodal Prototypes for Heterogeneous Data
Information Fusion20261 citations18 referencesContributes 0.039
Privacy-preserving AI for early diagnosis of thoracic diseases using IoTs: A federated learning approach with multi-headed self-attention for facilitating cross-institutional study
Internet of Things202412 citations92 referencesContributes 0.028
ModiFedCat: A multi-modal distillation based federated catalytic framework
Information Fusion20252 citations57 referencesContributes 0.019

Authors (4)

Junbo Wang ORCID,Walid Hussein,Patrick C.K. Hung,Songcan Yu

Live enrichment

PubMed:19162232 OpenAlex:https://openalex.org/W4389505417

National Natural Science Foundation of China

Grant: 62072485

Basic and Applied Basic Research Foundation of Guangdong Province

Grant: 2022B1515120064

FWCI

2.72

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

closedLicense: https://doi.org/10.15223/policy-004

publisherhttps://api.elsevier.com/content/article/PII:S0140366423004395?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0140366423004395?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.comcom.2023.12.003

Fields of Study

Text and Document Classification TechnologiesRecommender Systems and TechniquesPrivacy-Preserving Technologies in Data

Keywords

ModalitiesComputer scienceMultimodal learningModality (human–computer interaction)Artificial intelligenceMachine learningRepresentation (politics)Feature (linguistics)Dependency (UML)Feature learning

Robust multimodal federated learning for incomplete modalities

FAIR Checklist

DataRank Breakdown

Top 5 citers driving the network score

Authors (4)

Funding (2 grants)

Impact

Open Access

Topics