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Paper Citation Record · LEDGER

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding

As of 18 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2505.12453.

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

pith.paper-citation-record.v1
2505.12453 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:48.751975Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

  • verified exact2
  • verified fuzzy38
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9bbcbd0b-9d54-4723-9b03-c9955b251f86 · outbound

This paper cites B., Mironov, I., Talwar, K., and Zhang, L.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding B., Mironov, I., Talwar, K., and Zhang, L

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.485373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.485373Z digest=sha256:4e9cf42722810f8519d28684f8c8bee69a988ca386f998168b7f07fbe52e550d

Observation 960a93bd-ab60-4c38-b2a0-ea11bf48e4a3 · outbound

This paper cites Prio+: Privacy preserving aggregate statistics via boolean shares.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Prio+: Privacy preserving aggregate statistics via boolean shares

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.615425Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.490621Z digest=sha256:35e88c1b1cc251511e5d7a60ab602a2fc3970064cfadf317ca7f7c19651a7b19

Observation 6112642d-d5d2-4d25-bf47-d1f71ae3180e · outbound

This paper cites an unresolved cited work.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:49.600463Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.495198Z digest=sha256:669cfceab8caba58ffba0d20d08714afc8fc7c71757d28e9419b856da975f225

Observation cc86819f-bd8a-43ac-af45-83eb62e1eb41 · outbound

This paper cites Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.500017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.500017Z digest=sha256:8c53dc4ac533d2c0e5afb417738e4ae02a5ac0e2f1607e98f734701a959f8c17

Observation 22def544-3752-4ec4-8e73-c59075be245e · outbound

This paper cites H., Bonawitz, K.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding H., Bonawitz, K

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.586586Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.504882Z digest=sha256:66c8ecc853f2aa4880fad1eb0905508044baeb7d6df2cfe9baa3c0b3d702c289

Observation a10f6ce0-abb2-4a75-94cc-0cff7f8ad56c · outbound

This paper cites B., Patel, S., Ramage, D., Segal, A., and Seth, K.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding B., Patel, S., Ramage, D., Segal, A., and Seth, K

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.509469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.509469Z digest=sha256:347fc7695e72756f673708f05079d3505550ee90d278d2326542901fa128fac9

Observation 12c1c027-2bf6-4539-a2c0-28900fcb466c · outbound

This paper cites Towards federated learning at scale: System design.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Towards federated learning at scale: System design

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.563032Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.514365Z digest=sha256:8fb8e4c236de412c9d5008a4e821a2257e7b863005e4b692eec97dba8ac13b53

Observation 10365efa-15df-4c6c-8253-e6b507393dca · outbound

This paper cites Lightweight techniques for private heavy hitters.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Lightweight techniques for private heavy hitters

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.549239Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.518614Z digest=sha256:f884ed07b8d900776d69fbd56095ec0cbc8f20afd472b1b708c218c88373bf3c

Observation 4eb83a53-ab85-453c-b5c8-18e963307810 · outbound

This paper cites Function secret sharing.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Function secret sharing

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.534687Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.522669Z digest=sha256:aae82297896e0c8f2b2e52c4ad1d8b6b2d1f9c638e975a38b1dfcd979fe9776b

Observation 8a7c5d2c-0ade-408f-b926-2d9ceb975686 · outbound

This paper cites Function secret sharing: Improvements and extensions.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Function secret sharing: Improvements and extensions

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.520830Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.526807Z digest=sha256:7232ceef27990a17a854bb346bbab1e5c48294346ac88d1eb271055e411f7cac

Observation 88979708-e3c6-4326-a75c-dc096291fdb9 · outbound

This paper cites an unresolved cited work.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:49.506684Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.530838Z digest=sha256:c98b4dd72795107d6db038825b562885405b4c7511dc9e665e4b24de4a7e347a

Observation 63bc3f80-58a0-4d1a-974d-d63461ac873c · outbound

This paper cites Secure federated matrix factorization.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Secure federated matrix factorization

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.492727Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.535270Z digest=sha256:81d28f9d5b829d974ec461e170ec4f2e5bb55bd7d4a528dc6d0840acfdd21356

Observation 70cb2f04-29b0-4035-a0f9-9c087a8c9cc4 · outbound

This paper cites SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:40:48.932446Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.539539Z digest=sha256:91521455f0d2126800077a257c45e7b17ab7e8448db8fa645b1e1a0a01a3f95e

Observation 6c82121c-ed3f-4242-ae8b-ac986374560e · outbound

This paper cites L., Dao, T., Song, Z., Shrivastava, A., and Re, C.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding L., Dao, T., Song, Z., Shrivastava, A., and Re, C

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.478093Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.544293Z digest=sha256:64f4a25952c905c5ff233cd58a6583a7e37fe167765fdb158596031d42331398

Observation 4d1b80ca-e6da-45c8-919a-2d9cfdc9cf38 · outbound

This paper cites Your vision-language model itself is a strong filter: Towards high-quality instruction tuning with data selection.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Your vision-language model itself is a strong filter: Towards high-quality instruction tuning with data selection

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.462201Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.548472Z digest=sha256:e881801c930b52be10c74c1a4ebfdcd312fa25da6ba11dc069df5a0db1264fc5

Observation cf8708a8-84c0-41cc-90d7-844b42d5e44c · outbound

This paper cites De-mark: Watermark Removal in Large Language Models.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding De-mark: Watermark Removal in Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.552741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.552741Z digest=sha256:8f08a04efe96778b82da84530eb89e6004dfbd0a247159755c97e08677212e91

Observation 3e635afa-5817-41da-bc77-9c8b07c4f9b7 · outbound

This paper cites Improved Unbiased Watermark for Large Language Models.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Improved Unbiased Watermark for Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.558254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.558254Z digest=sha256:d1302bcbc9372c0922522a141d4fd2ae68e2945842872e02d229bc3e5585787f

Observation 44777c22-341a-4a43-85a6-4327243326db · outbound

This paper cites H., Kim, A., Kim, M., and Song, Y.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding H., Kim, A., Kim, M., and Song, Y

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.447964Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.562896Z digest=sha256:453697345d98dd2764201759b909635d740d00d2022e9dee9fa5563f37c1c600

Observation b3c5fe0e-df4b-4910-8da5-6a2b09ca90a9 · outbound

This paper cites Privacy at scale: Local differential privacy in practice.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Privacy at scale: Local differential privacy in practice

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.433899Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.567042Z digest=sha256:6ae2479e66182f960f7ff1403807462edcb242605b0522a40ff2a4bea3fc046a

Observation bddd58f4-9520-4b61-a2a6-6c351c38bbde · outbound

This paper cites and Boneh, D.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding and Boneh, D

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.419539Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.571383Z digest=sha256:0236acde35b2af682bbf50518518becd1f87f88553e526c944b7617e262c0ef9

Observation 0498174a-9618-417f-9d1e-fd03082ff70f · outbound

This paper cites B., et al.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding B., et al

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.405555Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.575927Z digest=sha256:5de1f84889a27c7293ee84211b1fc824dd7d0807cc2ba283a113b2319b65b795

Observation 228bb96d-3200-43b2-821e-305e0cec7385 · outbound

This paper cites 8-Bit Approximations for Parallelism in Deep Learning.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding 8-Bit Approximations for Parallelism in Deep Learning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.580307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.580307Z digest=sha256:a2a70cad35ba852d188f35a7d105bc305d654c0dbd754b1ad33f911c0567c43e

Observation f9d3e811-a621-4755-a055-a349f00e3552 · outbound

This paper cites The Llama 3 Herd of Models.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding The Llama 3 Herd of Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.584948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.584948Z digest=sha256:7831377babf75fbbcd055258d378d314e8e24d89eef22a833f3af0872bbf25cf

Observation f8ffd2ca-aca2-436d-9eca-8341cb18f587 · outbound

This paper cites Differential privacy.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Differential privacy

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.589426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.589426Z digest=sha256:67b9cb85c5fd5a9809d429313853198dff24fb500631b40ed2099ee4fe1c80d3

Observation 1d798377-3920-441f-b739-7d215f058706 · outbound

This paper cites Sparsified Secure Aggregation for Privacy-Preserving Federated Learning.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Sparsified Secure Aggregation for Privacy-Preserving Federated Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.593617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.593617Z digest=sha256:ed8190114c36e059cca42b4f084822ce5b1738818e40617b06d9ed936a476441

Observation 92e0a63e-72b1-4727-871a-5ac7e20a277d · outbound

This paper cites D., Rieger, P., Sadeghi, A.-R., Schneider, T., Yalame, H., et al.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding D., Rieger, P., Sadeghi, A.-R., Schneider, T., Yalame, H., et al

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.382213Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.598146Z digest=sha256:aa2909b62af30379b5ead69a474d9344bf1033cc1b7a46a80ee56f1de0d2c4b0

Observation d073e822-5992-48d7-8d40-a453ba4847e7 · outbound

This paper cites Deepfm: a factorization-machine based neural network for ctr prediction.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Deepfm: a factorization-machine based neural network for ctr prediction

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.367360Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.602088Z digest=sha256:482990653cb8e799bf2d8848779b80b0a52513f15da179681d35091dd18fdc1b

Observation e8a97195-3790-42fa-a26f-3168c2a98ef6 · outbound

This paper cites an unresolved cited work.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:49.352295Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.606499Z digest=sha256:60123d687aa9e0da2e8c9e62e9730bd0dafed291801209ddd234b18fc6f5e44e

Observation 72266039-39d8-4b50-bd14-3040d6de1bb7 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.610816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.610816Z digest=sha256:de15f944a612b3dda5a29f931ef854e73c22c636810d1627377886ad1b468bb9

Observation 80c156ab-af47-44aa-95ed-279fb8d9a302 · outbound

This paper cites an unresolved cited work.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.615131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.615131Z digest=sha256:c8a0e0ca7908a179df93dec2eba16f7e406a31e7049c9eb0e4fe00cd117b47f4

Observation a01f531d-c55b-4796-a19b-01a157e9c357 · outbound

This paper cites Neural collaborative filtering.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Neural collaborative filtering

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.619267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.619267Z digest=sha256:4f3bd6ef24b112b291a896d78e1b66c93f49122fe77faaa23f313d546dabe2c9

Observation 4bc6afac-3189-48ff-906a-e42c4e1f0bf0 · outbound

This paper cites J., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W., et al.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding J., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W., et al

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.623510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.623510Z digest=sha256:c553ea557506fc0f272dc8aa820bf874395ae5b86bcbeb5f76b30199cc50a57e

Observation c39a5f2b-a12e-4f67-a742-e26c90e8fd15 · outbound

This paper cites Differentially private matrix factorization.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Differentially private matrix factorization

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.311715Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.627741Z digest=sha256:fa4d5197ae676df27fd74b0e040214b03db167a7b48b5f46ddc9e88200bd3f49

Observation 40a22543-03c9-471b-b26e-a987da5505c6 · outbound

This paper cites FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.631955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.631955Z digest=sha256:54b0e3688e4fe0d8aa8ce3ddc630deaa145fd5f3d9e455b7b18489ab47396a2c

Observation 8a8311f3-f61c-4ba5-a05e-cfdb908722ef · outbound

This paper cites and McAuley, J.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding and McAuley, J

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.297705Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.636404Z digest=sha256:8a74976ed12aeb0b74f775b52bd9192c87e8e48250f0532b2be177bbfd3803ab

Observation eb311190-33f8-4aa5-9d1f-83ed6f7f7dd3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Adam: A Method for Stochastic Optimization

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.640815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.640815Z digest=sha256:4d476444a1d0a305199128ea720d26dde5666ade9c556358308f75a89b61cafc

Observation 6ca390da-7050-49b5-b4ab-dc415ba56b2a · outbound

This paper cites Matrix factorization techniques for recommender systems.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Matrix factorization techniques for recommender systems

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.645001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.645001Z digest=sha256:e4afa23c1d6bdaf96d602d78990f4695b5e56e9f515be29f083d2287d158a35f

Observation 0b5c6b89-0141-48de-a295-1de95e0e118e · outbound

This paper cites J., and Wang, Y.-X.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding J., and Wang, Y.-X

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.273460Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.649382Z digest=sha256:3d4b2c429191640fb3249a45857c0adc7a028e2c0471412de0c4eb0c42b71e29

Observation cf7155e1-52e7-4bc0-8f81-1f3aaaecf9ca · outbound

This paper cites Fedrec: Federated recommendation with explicit feedback.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Fedrec: Federated recommendation with explicit feedback

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.258555Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.653467Z digest=sha256:e000fb6d4660d67bee763cff60b28f610bd00bb9e8e9987d734f7bd9c43910aa

Observation ac9224fe-dd5c-464b-a647-16b2201d44c1 · outbound

This paper cites A generic federated recommendation framework via fake marks and secret sharing.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding A generic federated recommendation framework via fake marks and secret sharing

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.242842Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.657653Z digest=sha256:36b5b8fa8642b0e7deb459ca4d51f8cc9c559f62fb9f850a5b7c96a658d443dd

Observation 84d8a6af-cb10-46df-9114-0d3b0be7269a · outbound

This paper cites Z., and Smith, V.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Z., and Smith, V

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.228588Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.661976Z digest=sha256:c292973a120fd795c24d00c6aa6abffaf095ffeaf5fbfec3ea6f1288d047bb3a

Observation 12d8e145-dbf1-4fda-8350-20d0d17bab67 · outbound

This paper cites Efficient and secure federated learning for financial applications.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Efficient and secure federated learning for financial applications

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.214623Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.666384Z digest=sha256:2396540a890e0036faa7d938a367f5a9ecd6c4f9ad0942ff74d0f6a50d1d5598

Observation 26d58ed1-8e6c-41db-b01a-47782a24441e · outbound

This paper cites Top-k sparsification with secure aggregation for privacy-preserving federated learning.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Top-k sparsification with secure aggregation for privacy-preserving federated learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.200315Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.671028Z digest=sha256:8c9a508b7e4a99afa57d631c0802713fb83a654835c88586ebad905168d9c0ee

Observation 273dd893-9f20-4729-bb8f-592adb0d41d2 · outbound

This paper cites and Pang, Y.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding and Pang, Y

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.185577Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.675418Z digest=sha256:c4a8e68bfe384700bba270f8219a1b6747e62d47ad7171c88044249fdb793df0

Observation 3bc0d901-a75b-419c-833a-56057c0e8341 · outbound

This paper cites an unresolved cited work.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.680032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.680032Z digest=sha256:b17de92b39071e70c80473bd3027f7872eb0a63018b78d22a877b056c7b02340

Observation 21f42104-6643-425e-9bc3-1f51ea333fd5 · outbound

This paper cites and Zhang, Y.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding and Zhang, Y

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.161719Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.684461Z digest=sha256:2ea4a220f8699230a873fd4f712b633d123fa33628b38f2fb4fb61a7cfb7af5f

Observation c1a6e546-260b-4b3f-a762-49712256a2f8 · outbound

This paper cites T., Le, D.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding T., Le, D

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.146924Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.689312Z digest=sha256:b88f78f2a1e7b967835ee0da917e1e47b72ac146d3805c456a671606c23d8ea0

Observation 30f1f5de-290d-4d3b-abb7-e439a7707e49 · outbound

This paper cites and Efraimidis, P.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding and Efraimidis, P

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.132754Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.693952Z digest=sha256:db5cbd669cbce4d65a80cb87b025b06b78d4849760c2731a591a202a0ee4f68f

Observation 8c6aeab8-1db4-4e3a-b254-f1ca3321588f · outbound

This paper cites Large-scale distributed learning via private on-device locality-sensitive hashing.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Large-scale distributed learning via private on-device locality-sensitive hashing

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.117883Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.698506Z digest=sha256:522b8886d163de9a3fe9025b692795cb8d04dfbac09cdeefccb0c703a94007bb

Observation 292fa07c-70ce-42b3-a33e-579ee2bd0188 · outbound

This paper cites Factorization machines.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Factorization machines

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.102725Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.703462Z digest=sha256:302c0c5f5e527b04b8f2851e3b6a36bbbc5407559b8b21140a654196c66b817d

Observation 6c92eeb4-ebd3-47f9-bcfa-e8b7239d9110 · outbound

This paper cites Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.088736Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.708138Z digest=sha256:b40b8940cd725591765868f0498fa0f53323d68821a73deeadc090911797f0c5

Observation 4b9569e0-e8fe-4e49-9b34-8f3587c498d9 · outbound

This paper cites Lightsecagg: a lightweight and versatile design for secure aggregation in federated learning.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Lightsecagg: a lightweight and versatile design for secure aggregation in federated learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.074512Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.712555Z digest=sha256:d6de0bb90f37becba7d67827ffa73ab473eec9fb51f9e1d87011094b9608bae3

Observation 627646a7-7e13-41e7-a70e-40a8928f3a29 · outbound

This paper cites and Wang, K.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding and Wang, K

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.060201Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.717607Z digest=sha256:909b80c619a7e4d66d66ef98a05482acaa36b52092b56440ad038545890803e9

Observation 64690c51-2d75-4351-8705-817b4e270319 · outbound

This paper cites H., Farokhi, F., Jin, S., Quek, T.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding H., Farokhi, F., Jin, S., Quek, T

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.045229Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.721875Z digest=sha256:d61c6d39d9ebd33315d991ef65f25c561d5ced3fca20379244269a95c59e47e6

Observation d1c90a63-883e-471f-ada6-b79a766ae131 · outbound

This paper cites Terngrad: Ternary gradients to reduce communication in distributed deep learning.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Terngrad: Ternary gradients to reduce communication in distributed deep learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.029660Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.726177Z digest=sha256:6998f338c2b83f421316315c8b4b889df2fc3b8f13ce6c6853a369388bfb16ae

Observation 0d28be81-df51-4050-adcc-c0bc5a135969 · outbound

This paper cites Efficient Privacy-Preserving Computation Based on Additive Secret Sharing.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Efficient Privacy-Preserving Computation Based on Additive Secret Sharing

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:40:48.796707Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.730256Z digest=sha256:8ff50502feee12dfbfd55366a268d4e82ad79961a4de1dbb90d15d6bdd33af74

Observation 9cc8af7c-fa8d-4e6b-b3a4-703b3353e27f · outbound

This paper cites Adaptive sparse federated learning in large output spaces via hashing.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Adaptive sparse federated learning in large output spaces via hashing

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.015205Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.734718Z digest=sha256:213687a4d123454ff4dca47828670852b2bc8094533b2d39250140837f06cdde

Observation 769afbc2-cb40-48f0-9ff6-bc58154acac9 · outbound

This paper cites Deep matrix factorization models for recommender systems.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Deep matrix factorization models for recommender systems

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:49.000278Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.739343Z digest=sha256:2faf7b99e9d709a83fc3fef7e57adc6f5ec04610f34bda2c7949a0a2ae45c8d6

Observation 5ae787bd-a68f-4b97-aca3-0d4914e9900a · outbound

This paper cites Yelp dataset.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Yelp dataset

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:48.986123Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.743434Z digest=sha256:b3e384539442cf973bc422717594afafa20de1a38f9fda70fd535a5e5b8411cc

Observation dbd6beab-994b-4997-9c47-f8697c3332bb · outbound

This paper cites Lightfr: Lightweight federated recommendation with privacy-preserving matrix factorization.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Lightfr: Lightweight federated recommendation with privacy-preserving matrix factorization

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:48.971335Z

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.

source=arxiv_source observed=2026-08-15T20:40:48.747807Z digest=sha256:fe685b91c3e3718aee45d7432a473ce53b82e9331ad796d862a39075e167de7f

Observation b9e9f015-c13f-4c91-9d1e-251d9b0a8691 · outbound

This paper cites write newline.

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding write newline

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:48.751975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:40:48.751975Z digest=sha256:784b57a37fdd264f2099d80a8ce57be6922bd9395e9db48d4243b335f5a73988

Pith citing papers

No inbound Pith citation observations are available.