LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning | Paper Citation Record

Observation 202bf86e-2860-407b-bb44-5237faaac6ba · outbound

This paper cites R2gengpt: Radiology report generation with frozen llms,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning R2gengpt: Radiology report generation with frozen llms,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.676749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d708417-4cde-4831-b6a6-c0aa113c676a · outbound

This paper cites Llm-cxr: Instruction- finetuned llm for cxr image understanding and generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Llm-cxr: Instruction- finetuned llm for cxr image understanding and generation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.629121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b36ed3a6-5ecc-43f6-b4e2-75d734a6f312 · outbound

This paper cites MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:35:01.818148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ee095e1-b6e4-4e70-ae49-a10b19e9b3e0 · outbound

This paper cites XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:53.468715Z

Source-reported events for the cited work

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Observation aa1515a5-dcf2-477d-a8cf-328f3738d772 · outbound

This paper cites Dia-LLaMA: Towards Large Language Model-driven CT Report Generation.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Dia-LLaMA: Towards Large Language Model-driven CT Report Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:53.565456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f892a7d-a2e8-4828-aaae-64befa3e3816 · outbound

This paper cites Bootstrapping large language models for radiology report generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Bootstrapping large language models for radiology report generation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.587984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5bde0383-b260-4dbe-9b58-4d99a5770633 · outbound

This paper cites Promptmrg: Diagnosis-driven prompts for medical report generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Promptmrg: Diagnosis-driven prompts for medical report generation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.465740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 44e7af52-deb5-4a96-b043-2148d61d353f · outbound

This paper cites Towards generalizable diabetic retinopathy grading in unseen domains,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Towards generalizable diabetic retinopathy grading in unseen domains,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.354750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 806a87aa-d243-42fc-b31d-c44c41a69f43 · outbound

This paper cites Learning robust representation for joint grading of ophthalmic diseases via adaptive curriculum and feature disentanglement,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Learning robust representation for joint grading of ophthalmic diseases via adaptive curriculum and feature disentanglement,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.294940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 21014ff5-5ab4-45cb-9b57-7bb9e788a6a8 · outbound

This paper cites Image quality-aware diagnosis via meta- knowledge co-embedding,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Image quality-aware diagnosis via meta- knowledge co-embedding,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.225096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e0268c1-f538-4eef-8f83-ce9494247a98 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:54.366468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea3d1ebb-32ce-4636-a9e2-58c992b60e53 · outbound

This paper cites On the automatic generation of medical imaging reports,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning On the automatic generation of medical imaging reports,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.124876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bae3a1cf-3637-48f9-9fbd-14ea48461bdb · outbound

This paper cites Pain- fl: Personalized privacy-preserving incentive for federated learning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Pain- fl: Personalized privacy-preserving incentive for federated learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:07.074752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50ba5e86-74e5-458e-adc8-908ce4a6522c · outbound

This paper cites Unpaired optical coherence tomography angiography image super-resolution via frequency-aware inverse-consistency gan,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Unpaired optical coherence tomography angiography image super-resolution via frequency-aware inverse-consistency gan,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.986007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7181b4e-c350-4ff4-a6c3-4605240f3620 · outbound

This paper cites A deep learning system for predicting time to progression of diabetic retinopathy,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning A deep learning system for predicting time to progression of diabetic retinopathy,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.919158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 048b8118-fad9-4549-a441-74674ec192ed · outbound

This paper cites FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:35:01.513189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58b5b99b-2edc-4da9-b7d3-b5b2f593d436 · outbound

This paper cites Privacy in the age of medical big data,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Privacy in the age of medical big data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.876463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aad97586-b168-4efe-98e6-e12e6adb072a · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:55.074681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1e7f58-eb12-4188-99e1-7c29cb1571d1 · outbound

This paper cites Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.838410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a7975fd6-9a0a-49e6-8239-dc494e868e88 · outbound

This paper cites The future landscape of large language models in medicine,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning The future landscape of large language models in medicine,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.808728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff538615-3bf9-4713-938a-2e491e2c8819 · outbound

This paper cites The future of digital health with federated learning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning The future of digital health with federated learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.747106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 52c46829-82e3-46dd-bff7-c856c4ad8fd4 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:55.460487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f2fab36-e5f5-47ab-aab7-5b0abaeb0f46 · outbound

This paper cites Palm: Scaling language modeling with pathways,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Palm: Scaling language modeling with pathways,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.695080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6939df10-79c9-4f19-977d-d25f0be55758 · outbound

This paper cites Feddat: An approach for foundation model finetuning in multi-modal heterogeneous federated learning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Feddat: An approach for foundation model finetuning in multi-modal heterogeneous federated learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.638000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d1d09466-3c28-4077-ab45-b57b4db557da · outbound

This paper cites Multi-modal domain adaptation for fine- grained action recognition,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Multi-modal domain adaptation for fine- grained action recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.617239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9814cbe-309a-446e-8702-7cbfe9e6f2d8 · outbound

This paper cites Towards better understanding of domain shift on linear-probed visual foundation models,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Towards better understanding of domain shift on linear-probed visual foundation models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.607386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45f13158-93b8-41f5-b24e-4d7fa7b38876 · outbound

This paper cites Deep learning in generating radiology reports: A survey,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Deep learning in generating radiology reports: A survey,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.569862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2d67a3e9-29b7-4d16-800d-c295b33ae1ac · outbound

This paper cites Generating radiology reports via memory-driven transformer,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Generating radiology reports via memory-driven transformer,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.529311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ac9e68a-4bad-4866-9ce8-e549bc63299f · outbound

This paper cites Radiology report generation with a learned knowledge base and multi-modal alignment,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Radiology report generation with a learned knowledge base and multi-modal alignment,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.502886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6de0eb88-5062-4732-98f7-8d2fe5aa7bf7 · outbound

This paper cites Histgen: Histopathology report generation via local-global feature encoding and cross-modal context interaction,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Histgen: Histopathology report generation via local-global feature encoding and cross-modal context interaction,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.456319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 257ebf0e-ca6a-4961-a5f8-6220c5f43d19 · outbound

This paper cites When radiology report generation meets knowledge graph,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning When radiology report generation meets knowledge graph,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.429600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c10eeaf-99d2-499c-a668-4900ac4aa8dd · outbound

This paper cites Exploring and distilling posterior and prior knowledge for radiology report generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Exploring and distilling posterior and prior knowledge for radiology report generation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.388376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bc503114-5de0-40c5-aec4-7d9ddf7d374c · outbound

This paper cites Dynamic graph enhanced contrastive learning for chest x-ray report generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Dynamic graph enhanced contrastive learning for chest x-ray report generation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.325252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e159b662-ef0a-4c82-aacd-1814c29a131c · outbound

This paper cites Kiut: Knowledge-injected u- transformer for radiology report generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Kiut: Knowledge-injected u- transformer for radiology report generation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.297301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 18fb305d-c999-4c83-9024-bf4d9b40f395 · outbound

This paper cites Automated radiographic report generation purely on transformer: A multicriteria supervised approach,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Automated radiographic report generation purely on transformer: A multicriteria supervised approach,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.251454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ad0fd80-1316-4f2e-8a47-6c5bdca5ca1a · outbound

This paper cites A self-boosting framework for automated radiographic report generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning A self-boosting framework for automated radiographic report generation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.216987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 26ee4263-b78d-4cf7-b27b-8045a953eb0a · outbound

This paper cites Weakly supervised contrastive learning for chest x-ray report generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Weakly supervised contrastive learning for chest x-ray report generation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.207927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5730cc69-4da5-4fdd-98dc-be0f75d73d2b · outbound

This paper cites Clinical-bert: Vision-language pre-training for radiograph diagnosis and reports generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Clinical-bert: Vision-language pre-training for radiograph diagnosis and reports generation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.167323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2ea9a47-e0e8-438e-a346-21668700e987 · outbound

This paper cites Interactive and explainable region-guided radiology report generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Interactive and explainable region-guided radiology report generation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.155708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 457de013-6179-4f34-87df-300b77a74e22 · outbound

This paper cites Metransformer: Radiology report generation by transformer with multiple learnable expert tokens,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Metransformer: Radiology report generation by transformer with multiple learnable expert tokens,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.090194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7915121a-4a04-4041-8759-d1a6c985e20b · outbound

This paper cites A chain of diagnosis framework for accurate and explainable radiology report generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning A chain of diagnosis framework for accurate and explainable radiology report generation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.067785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fbbfff6e-934a-4c70-9dd3-17d7110d8086 · outbound

This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Minigpt-4: Enhancing vision-language understanding with advanced large language models,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.015373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c6972a8-3470-4d19-9ab5-f9de6c13b499 · outbound

This paper cites Large Language Model with Region-guided Referring and Grounding for CT Report Generation.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Large Language Model with Region-guided Referring and Grounding for CT Report Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:57.647858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0fffdea-b00d-4bd4-821a-6c454d37b9f5 · outbound

This paper cites Cocktailsgd: Fine- tuning foundation models over 500mbps networks,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Cocktailsgd: Fine- tuning foundation models over 500mbps networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:06.005923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a4898058-e8c2-4357-98fa-8567003c9a4f · outbound

This paper cites Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Promptfl: Let federated participants cooperatively learn prompts instead of models-federated learning in age of foundation model,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:05.982620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06fddbc7-722e-48be-8f18-226bf7262f08 · outbound

This paper cites Efficient model person- alization in federated learning via client-specific prompt generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Efficient model person- alization in federated learning via client-specific prompt generation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:05.971492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0cf41d71-66b3-4d58-9f89-a1b1a5f6a8c5 · outbound

This paper cites Global and local prompts cooperation via optimal transport for federated learning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Global and local prompts cooperation via optimal transport for federated learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:05.927875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 000bd2c9-7218-4efb-9a01-cfd1d2f5cd22 · outbound

This paper cites Federated adaptive prompt tuning for multi-domain collaborative learning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Federated adaptive prompt tuning for multi-domain collaborative learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:05.896082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1eddfb94-4606-4c2f-9730-3d1117a5446e · outbound

This paper cites Towards building the federatedgpt: Federated instruction tuning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Towards building the federatedgpt: Federated instruction tuning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:05.702956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f0ae7ce-340f-4148-9ab3-fecc9a452272 · outbound

This paper cites Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Mix-of-show: Decentralized low-rank adaptation for multi-concept customization of diffusion models,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:05.435655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec41903b-50f2-4155-a5ce-6b561d4f2314 · outbound

This paper cites Improving lora in privacy-preserving federated learning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Improving lora in privacy-preserving federated learning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:05.236871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c4e54c4b-7093-409d-a583-76809007cce1 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Lora: Low-rank adaptation of large language models,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:05.085339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ae9ad795-0fb6-40e9-9665-5472533ca05f · outbound

This paper cites Prefix-tuning: Optimizing continuous prompts for generation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Prefix-tuning: Optimizing continuous prompts for generation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:04.860948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e889af3a-7f92-4259-a743-447f2f2ee76b · outbound

This paper cites The power of scale for parameter-efficient prompt tuning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning The power of scale for parameter-efficient prompt tuning,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:04.714109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0b563c9-9108-4210-ba0b-f9741f14dcc0 · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Adaptive budget allocation for parameter-efficient fine-tuning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:04.521108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4072c12-261c-46af-8c9b-3915a8ca9c7d · outbound

This paper cites Vera: Vector-based random matrix adaptation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Vera: Vector-based random matrix adaptation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:04.283919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 21e15141-7da7-486f-b32b-788363ecd305 · outbound

This paper cites FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T23:34:59.394542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0fddcac-338e-48a3-a659-38990f7c5e06 · outbound

This paper cites Lora: Low-rank adaptation of large language models,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Lora: Low-rank adaptation of large language models,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:04.048622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a84088ab-89c1-47ee-918b-5d9418fa313a · outbound

This paper cites Supervised contrastive learning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Supervised contrastive learning,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:03.804955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 65642b2b-e774-4f5c-abf6-b431a7f6be38 · outbound

This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:03.515876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 60d064dd-779a-42c8-a4a3-5f63f94fac3d · outbound

This paper cites Unlocking the potential of prompt-tuning in bridging generalized and personalized federated learning,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Unlocking the potential of prompt-tuning in bridging generalized and personalized federated learning,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:03.206374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4bb0874d-b3d1-472f-971b-b769c577c31b · outbound

This paper cites On bridging generic and personalized federated learning for image classification,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning On bridging generic and personalized federated learning for image classification,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:02.938503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1ff6d68-dccd-47da-85e2-248523874a5c · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:00.181239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee8e5bcc-b05b-411f-a136-102f9e73476a · outbound

This paper cites Preparing a collection of radiology examinations for distribution and retrieval,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Preparing a collection of radiology examinations for distribution and retrieval,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:02.731184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9aa61a3-e5b8-4ba7-97d4-d9702a4c5c5d · outbound

This paper cites Modeling and enhancing low- quality retinal fundus images,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Modeling and enhancing low- quality retinal fundus images,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:02.524088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a312224c-c1c5-40ee-8000-d379f6b156bb · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Bleu: a method for automatic evaluation of machine translation,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:00.562244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0843b5d6-b33a-428b-8b65-d8988671eb4e · outbound

This paper cites Cider: Consensus- based image description evaluation,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Cider: Consensus- based image description evaluation,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:00.704749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c1afe9-dc8f-4747-bc31-8eecd74b5e2e · outbound

This paper cites Improving chest x-ray report generation by leveraging warm starting,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Improving chest x-ray report generation by leveraging warm starting,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:02.324467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8351045-6c47-47ea-89dc-dc718560004a · outbound

This paper cites Combining automatic labelers and expert annotations for accurate radiology report labeling using bert,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Combining automatic labelers and expert annotations for accurate radiology report labeling using bert,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:35:01.995460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 771f5c90-097c-487e-95a5-d43470b70099 · outbound

This paper cites Deep residual learning for image recognition,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Deep residual learning for image recognition,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:01.073134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f635a27-f068-433f-a7f3-8f3f20cbd775 · outbound

This paper cites Decoupled weight decay regularization,.

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning Decoupled weight decay regularization,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:01.191697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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