Paper Citation Record · LEDGER

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation

As of 19 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 4 inbound Pith citation observations for arXiv:2504.19101.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.19101 v1

Coverage vector

measured 100 of 102 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:05:57.807782Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:26.633779Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-09T08:16:05.763245Z

Reference resolution

100 of 102 outbound references displayed

verified exact1
verified fuzzy46
unresolved53
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 95c8ed84-8103-40d0-aa75-8f5cc56d58d1 · outbound

This paper cites Generation-augmented retrieval for open-domain question answering,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Generation-augmented retrieval for open-domain question answering,

Reference 1

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Observation e1bb1805-57e9-444b-a254-e0a15257200e · outbound

This paper cites Leveraging passage retrieval with generative models for open domain question answering,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Leveraging passage retrieval with generative models for open domain question answering,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.421723Z

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Observation 5a4cba57-03cb-4be3-95ff-986ec1800465 · outbound

This paper cites Recent advances in retrieval- augmented text generation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Recent advances in retrieval- augmented text generation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.425429Z

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Observation 4297412c-bc90-41cf-b109-e12448faefbe · outbound

This paper cites Fid-light: Efficient and effective retrieval-augmented text generation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Fid-light: Efficient and effective retrieval-augmented text generation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.429696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddb1e1d2-27cc-4795-84c2-99c84799307e · outbound

This paper cites Ragas: Automated evaluation of retrieval augmented generation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Ragas: Automated evaluation of retrieval augmented generation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.434562Z

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Observation 0ffb203e-c04f-4624-bcb8-68b2b644de44 · outbound

This paper cites MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.438778Z

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Observation 47c49b4c-031b-4265-a6c1-6a3a2d6c9d05 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.443221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 093919c7-130f-4acc-8a3d-1a79140f18ce · outbound

This paper cites Active retrieval augmented generation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Active retrieval augmented generation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.446635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54aa2259-ad53-4bde-8251-02f856519634 · outbound

This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation REALM: Retrieval-Augmented Language Model Pre-Training

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.450541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efe0aa12-55c8-4d4e-b930-c85b3f3bcf64 · outbound

This paper cites Improving language models by retrieving from trillions of tokens,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Improving language models by retrieving from trillions of tokens,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.455642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf0743cb-d873-4031-b475-a89cc46abf38 · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self-reflection,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Self-rag: Learning to retrieve, generate, and critique through self-reflection,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.459382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e141959e-abe8-450b-b97f-f27c6d9750cb · outbound

This paper cites Agentic retrieval- augmented generation: A survey on agentic rag,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Agentic retrieval- augmented generation: A survey on agentic rag,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.463300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d801a8b6-4476-4896-831d-419fe56ad7e0 · outbound

This paper cites Retrieval-Augmented Generation with Graphs (GraphRAG).

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Retrieval-Augmented Generation with Graphs (GraphRAG)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.466919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a975a2-3b05-4806-90fd-8675c62f23f2 · outbound

This paper cites XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-16T06:05:58.377273Z

Source-reported events for the cited work

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Observation bd53ec2b-a36e-4401-a207-c2b5ae7daec5 · outbound

This paper cites Survey of hallucination in natural language generation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Survey of hallucination in natural language generation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.474524Z

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Observation 4f90cb3a-fb6e-4aa7-9781-0ffa92c3313f · outbound

This paper cites In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.477885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f010c213-b2d3-447e-8086-493cbbbaa9e5 · outbound

This paper cites Rethinking with Retrieval: Faithful Large Language Model Inference.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.481826Z

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Unavailable: canonical work link unavailable.

Observation bc17deec-0c24-4424-b8aa-87f3963dd62b · outbound

This paper cites Training Compute-Optimal Large Language Models.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Training Compute-Optimal Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.485692Z

Source-reported events for the cited work

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Observation ab7690a3-569f-460e-a359-043eb19784b7 · outbound

This paper cites Scaling data-constrained language models,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Scaling data-constrained language models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.489594Z

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Unavailable: canonical work link unavailable.

Observation 8e36ecd7-2531-4d12-ab82-3a989784fb2b · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation On the Opportunities and Risks of Foundation Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.493432Z

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Observation a8fd60ab-1a3f-4868-a327-244b0c7d519d · outbound

This paper cites Extracting training data from large language models,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Extracting training data from large language models,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.497439Z

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Observation 1cc9ea10-eb07-4d51-b783-c9484971bd74 · outbound

This paper cites Deduplicating training data mitigates privacy risks in language models,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Deduplicating training data mitigates privacy risks in language models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.501479Z

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Observation aa45b490-ae0c-4473-bb8a-f3aa7c5c4f19 · outbound

This paper cites Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.506491Z

Source-reported events for the cited work

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Observation 2a32f3e1-189f-43cf-b581-fa257d2cd38c · outbound

This paper cites Privacy-preserving in- context learning for large language models,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Privacy-preserving in- context learning for large language models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.512696Z

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Observation e57fd151-cfac-42e6-a4f1-90abb786c2a8 · outbound

This paper cites The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.517192Z

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Observation 03897039-f8e0-4f36-940a-4e51481b21fd · outbound

This paper cites Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.521478Z

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Observation 24f6c014-dace-48f0-8c83-b5f764992da1 · outbound

This paper cites Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.525638Z

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Observation 27e9e3da-a5ab-4b5b-880e-243a823aafa0 · outbound

This paper cites Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.529712Z

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Observation 5fa79947-db84-4062-b630-da8e684e3dec · outbound

This paper cites Sentence embedding leaks more informa- tion than you expect: Generative embedding inversion attack to recover the whole sentence,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Sentence embedding leaks more informa- tion than you expect: Generative embedding inversion attack to recover the whole sentence,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.537908Z

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Observation fc8a815e-f3b8-42a1-b092-2e81bb1cd1b3 · outbound

This paper cites Text em- beddings reveal (almost) as much as text,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Text em- beddings reveal (almost) as much as text,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.541795Z

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Observation 3fadbe14-5d09-4e35-a392-374961eeef3e · outbound

This paper cites Transferable em- bedding inversion attack: Uncovering privacy risks in text embeddings without model queries,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Transferable em- bedding inversion attack: Uncovering privacy risks in text embeddings without model queries,

Reference 31

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Observation 389caabb-2d09-4ec4-aeca-47d7b1c7bde7 · outbound

This paper cites The good and the bad: Exploring privacy issues in retrieval-augmented generation (RAG),.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation The good and the bad: Exploring privacy issues in retrieval-augmented generation (RAG),

Reference 32

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Observation 0809ebfb-3b79-4118-9733-3e33807da6d9 · outbound

This paper cites Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 33

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Observation 48ef783f-c0b5-4605-bd58-896bbd8bfa9b · outbound

This paper cites Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Feedback-Guided Extraction of Knowledge Base from Retrieval-Augmented LLM Applications

Reference 34

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Observation 0d3957b7-08ec-4c88-b814-ba08d3ec0b63 · outbound

This paper cites Reinforcement Learning for Optimizing RAG for Domain Chatbots.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Reinforcement Learning for Optimizing RAG for Domain Chatbots

Reference 35

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Observation d3bf61ca-ad87-452f-afe7-93674123218a · outbound

This paper cites ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

Reference 36

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Observation 5ce9db1a-2e48-4d66-9a5b-1853fd6a0291 · outbound

This paper cites Federated machine learning: Concept and applications,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Federated machine learning: Concept and applications,

Reference 37

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This paper cites A survey on security and privacy of federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation A survey on security and privacy of federated learning,

Reference 38

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This paper cites Federated learning: JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 16 Challenges, methods, and future directions,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Federated learning: JOURNAL OF LATEX CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 16 Challenges, methods, and future directions,

Reference 39

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Observation bbeaf206-b9ea-4fff-850e-fc5c16df78a3 · outbound

This paper cites Communication-efficient federated learning via knowledge distillation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Communication-efficient federated learning via knowledge distillation,

Reference 40

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This paper cites Openfedllm: Training large language models on decentral- ized private data via federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Openfedllm: Training large language models on decentral- ized private data via federated learning,

Reference 41

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This paper cites Survey on fully homomorphic encryption, theory, and applications,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Survey on fully homomorphic encryption, theory, and applications,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:59.013071Z

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Observation 2c85d2cb-3ceb-4a9d-a958-2791a2753458 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Federated Learning: Strategies for Improving Communication Efficiency

Reference 43

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

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Communication-efficient learning of deep networks from decentral- ized data,

Reference 44

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This paper cites Adaptive federated optimization,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Adaptive federated optimization,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.989913Z

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Observation 1c2faa64-00a0-429b-ab48-00124874a792 · outbound

This paper cites Lazily aggregated quantized gradient innovation for communication-efficient federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Lazily aggregated quantized gradient innovation for communication-efficient federated learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.977781Z

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Observation e6a870d5-262d-4ffc-b3de-a44d81073742 · outbound

This paper cites On the conver- gence of fedavg on non-iid data,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation On the conver- gence of fedavg on non-iid data,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.965211Z

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This paper cites Multi-level branched regularization for federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Multi-level branched regularization for federated learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.954161Z

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Observation d4fc95b4-1b75-4f8a-a3f0-35b1fc697750 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Federated learning on non-iid data silos: An experimental study,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.941573Z

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Observation 54a7fd35-525d-42bf-b56e-0779ba5a4843 · outbound

This paper cites Federated multi-task learning on non-iid data silos: An experimental study,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Federated multi-task learning on non-iid data silos: An experimental study,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.929342Z

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Observation 665ee444-d9fa-4abe-a9c8-b27eeac0ba0a · outbound

This paper cites Semi-supervised knowledge transfer for deep learning from private training data,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Semi-supervised knowledge transfer for deep learning from private training data,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.918548Z

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Observation 29816b21-08e4-4188-90e2-768152abfdb1 · outbound

This paper cites Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 52

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Observation faf13e71-0b0d-40eb-b430-570a1ab81a0b · outbound

This paper cites Group knowledge transfer: Federated learning of large cnns at the edge,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Group knowledge transfer: Federated learning of large cnns at the edge,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.905166Z

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Observation 9cc7c575-0882-4bf8-b593-6cf7120bca8f · outbound

This paper cites Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.891703Z

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Observation 60c725bb-96ae-45e0-906e-fad5b6639c58 · outbound

This paper cites Ensemble attention distillation for privacy-preserving federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Ensemble attention distillation for privacy-preserving federated learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.878748Z

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Observation 0bba4c28-0e6c-4cf0-b25e-650cebb3f387 · outbound

This paper cites Large scale distributed neural network training through online distillation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Large scale distributed neural network training through online distillation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.866478Z

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Observation b3974f93-bed7-44a1-a62c-6d973f2678c7 · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Ensemble distillation for robust model fusion in federated learning,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.853660Z

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Observation 2289a6f0-ba94-4e32-8ae6-ee5688ed9e19 · outbound

This paper cites Fedgems: Federated learn- ing of larger server models via selective knowledge fusion,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Fedgems: Federated learn- ing of larger server models via selective knowledge fusion,

Reference 58

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Observation 0e3a4beb-cb2f-4d75-8b66-3d07cbf4123d · outbound

This paper cites Towards visually explaining variational autoencoders,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Towards visually explaining variational autoencoders,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.841512Z

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Observation 90d5eea0-b54e-46f4-8115-cd7ff0624006 · outbound

This paper cites Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective

Reference 60

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Observation b6276a99-c986-47df-a3e5-e2cce1630b79 · outbound

This paper cites Can public large language models help private cross-device federated learning?,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Can public large language models help private cross-device federated learning?,

Reference 61

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Observation 5d2ea627-3119-47cd-b169-dc01e29d88e3 · outbound

This paper cites Feb4rag: Evalu- ating federated search in the context of retrieval augmented generation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Feb4rag: Evalu- ating federated search in the context of retrieval augmented generation,

Reference 62

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Observation cf40542a-7016-4fda-82bc-f714934a42f3 · outbound

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Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System

Reference 63

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Observation c0b94d1e-1415-4db6-b19b-9cd9744580ea · outbound

This paper cites Cache me if you can: The case for retrieval augmentation in federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Cache me if you can: The case for retrieval augmentation in federated learning,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.803490Z

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Observation 6c51b6e9-2049-4f36-8955-28878b739999 · outbound

This paper cites NN-EMD: efficiently training neural networks using encrypted multi-sourced datasets,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation NN-EMD: efficiently training neural networks using encrypted multi-sourced datasets,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.791128Z

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Observation ac608812-4a4b-49a6-8c64-444d22c022fb · outbound

This paper cites FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T06:05:57.677583Z

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Observation 6ba6d8db-8cc6-4914-9448-9579324a3373 · outbound

This paper cites Efficient and straggler-resistant homomorphic encryption for heteroge- neous federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Efficient and straggler-resistant homomorphic encryption for heteroge- neous federated learning,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.777494Z

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Observation 911fcbf2-49c1-46a7-8e49-bef57308c75e · outbound

This paper cites Tapfed: Threshold secure aggregation for privacy-preserving federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Tapfed: Threshold secure aggregation for privacy-preserving federated learning,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.763335Z

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Observation acaf054a-77ea-459f-9f57-a0277068675d · outbound

This paper cites Ese: Efficient security enhancement method for the secure aggregation protocol in federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Ese: Efficient security enhancement method for the secure aggregation protocol in federated learning,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.750498Z

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Observation a1130182-5ff4-49a4-8f30-8cdee16485a3 · outbound

This paper cites Federated learning for generalization, robustness, fairness: A survey and benchmark,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Federated learning for generalization, robustness, fairness: A survey and benchmark,

Reference 70

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This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation C-Pack: Packed Resources For General Chinese Embeddings

Reference 71

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This paper cites RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

Reference 72

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This paper cites Retromae-2: Duplex masked auto-encoder for pre-training retrieval-oriented language models,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Retromae-2: Duplex masked auto-encoder for pre-training retrieval-oriented language models,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.730298Z

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Observation 9a33a26c-4bf2-4f60-8124-322d7207d6b7 · outbound

This paper cites Dense passage retrieval for open-domain ques- tion answering,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Dense passage retrieval for open-domain ques- tion answering,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.718704Z

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Observation 508f21b2-8642-4a79-bc74-7e955f928c3d · outbound

This paper cites M3- embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation M3- embedding: Multi-linguality, multi-functionality, multi-granularity text embeddings through self-knowledge distillation,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.706028Z

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Observation 562cb1e9-7fac-4f82-9103-92cb03681148 · outbound

This paper cites REFINE on scarce data: Retrieval enhancement through fine-tuning via model fusion of embedding models,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation REFINE on scarce data: Retrieval enhancement through fine-tuning via model fusion of embedding models,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.692853Z

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Observation 3c96cf41-20d4-4dc8-86c5-b612c2ce89a8 · outbound

This paper cites Efficient estimation of word representations in vector space,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Efficient estimation of word representations in vector space,

Reference 77

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Observation 1900945f-6a6c-4170-8e23-64b76b691c70 · outbound

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Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation ATOMIC: an atlas of machine commonsense for if-then reasoning,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.667793Z

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Observation 0c6d340d-1207-43a5-b8b5-b35c7f8ac736 · outbound

This paper cites Deep contextualized word representations,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Deep contextualized word representations,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.655301Z

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This paper cites Improv- ing language understanding by generative pre-training,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Improv- ing language understanding by generative pre-training,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.642697Z

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Observation d3a63d54-d504-4b28-95b3-0f6713bdd51c · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation BERT: pre-training of deep bidirectional transformers for language understanding,

Reference 81

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Observation 8eedb739-d1b5-49b3-8442-6a90e21e540d · outbound

This paper cites Language models are unsupervised multitask learners,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Language models are unsupervised multitask learners,

Reference 82

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This paper cites Accurate unlexicalized parsing,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Accurate unlexicalized parsing,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.609129Z

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Observation 2424915c-c7d8-4f12-8bb3-a2fd5e2ed9a9 · outbound

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Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Representation Learning with Contrastive Predictive Coding

Reference 84

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This paper cites A simple frame- work for contrastive learning of visual representations,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation A simple frame- work for contrastive learning of visual representations,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.597030Z

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Observation 9c9a1a18-5c92-4610-89c1-cd59e03663cd · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Momentum contrast for unsupervised visual representation learning,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.585585Z

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Observation ea67443c-5342-42ae-a792-97b8b5f1608d · outbound

This paper cites Simcse: Simple contrastive learning of sentence embeddings,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Simcse: Simple contrastive learning of sentence embeddings,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.574189Z

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Observation 18bc2394-b186-4b4d-bc84-09efd6114227 · outbound

This paper cites Stabilizing and accelerating federated learning on heterogeneous data with partial client participation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Stabilizing and accelerating federated learning on heterogeneous data with partial client participation,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.561253Z

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Observation 95505b00-de4e-4eda-941a-622363107e91 · outbound

This paper cites Homomorphic encryption for arithmetic of approximate numbers,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Homomorphic encryption for arithmetic of approximate numbers,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.547060Z

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Observation 8e649b44-e5aa-4f09-8312-8a6eca5cc699 · outbound

This paper cites A survey of federated evaluation in federated learning,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation A survey of federated evaluation in federated learning,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.532274Z

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Observation 59bbeab0-60ef-4cc9-b012-e93f6a24647a · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation FinanceBench: A New Benchmark for Financial Question Answering

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Observation 8a1f0220-e0e1-4b97-82c9-8a08e95576f4 · outbound

This paper cites Evaluating web-based question answering systems,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Evaluating web-based question answering systems,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.519866Z

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Observation e4032651-6acb-403b-9d97-69c378745cd9 · outbound

This paper cites Overview of information retrieval evaluation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Overview of information retrieval evaluation,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.508733Z

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Observation 0d918b59-5364-45ac-b628-5f0592d6efdc · outbound

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

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Bleu: a method for automatic evaluation of machine translation,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.494515Z

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Observation c6f4b294-9abe-4aa2-8efd-8aa6036bac79 · outbound

This paper cites chrf: character n-gram f-score for automatic MT evalu- ation,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation chrf: character n-gram f-score for automatic MT evalu- ation,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.483382Z

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Observation 2cabf6fa-b3ec-4cc6-a63b-cc128b0b9d7c · outbound

This paper cites chrf++: words helping character n-grams,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation chrf++: words helping character n-grams,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.472023Z

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Observation f31b6d38-f9eb-4a77-ba33-9d35ff3a1995 · outbound

This paper cites METEOR: an automatic metric for MT evaluation with improved correlation with human judgments,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation METEOR: an automatic metric for MT evaluation with improved correlation with human judgments,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.460231Z

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Observation b6023e0d-02b5-4e5b-ad28-1460fe33f39b · outbound

This paper cites ROUGE: A package for automatic evaluation of sum- maries,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation ROUGE: A package for automatic evaluation of sum- maries,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T06:05:58.449013Z

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Observation 7fe9b95a-217e-412c-aa49-1abe826b8ccc · outbound

This paper cites Perplexity—a measure of the difficulty of speech recognition tasks,.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Perplexity—a measure of the difficulty of speech recognition tasks,

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This paper cites FLGo: A Fully Customizable Federated Learning Platform.

Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation FLGo: A Fully Customizable Federated Learning Platform

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Pith citing papers

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Federated Retrieval-Augmented Generation: A Systematic Mapping Study Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation

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ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.877499Z

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Observation 77dd794e-02fe-4ce4-b5c4-6b3475c0c4a7 · inbound

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation cites this paper.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T08:16:05.765349Z

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