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Paper Citation Record · LEDGER

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

As of 23 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 2026-08-23T06:30:58.430688+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:dd07f7b95a5bad25be219adb55878cf55dc99a4fe6428d5330e0b0ce5da97411

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.490621Z digest=sha256:de388eda47703e5649c612ac89e927ecc863693496dadd116be35463346dec81

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.495198Z digest=sha256:65f83af81111d7050efc2f51afc46b432e013803c216ed25dc1bf7bcc1a88f60

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:d9129e49128822d6e01f18e7e9e0b639f8899aea5cb549231c97a200cd62799a

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.504882Z digest=sha256:f5a10fe83c81f0c1d38bfc6f8b753c63e2a2062daa4e13e021bd078ea6249935

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=sha256:5f2f8fb6c5b3fd694927ac1670b9b16e6767126493d9a2db4d67c8bb5de9cbe2

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.514365Z digest=sha256:9550fb560d9034a54730f6ba38bd9efed1ad6434264a65a8eaa2829f563ae65e

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.518614Z digest=sha256:c04c596e34899f472bcd8072eed78259b0ee7619ccacb90bd77fb2afea1560c4

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.522669Z digest=sha256:e1f5eefc84c728595e782e1a814584294ad9c5b092a0d905baa3b77e2209bf52

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.526807Z digest=sha256:468599b8a055370ae05907f2d31738c7d2624943aa0f71378d2b4e48fd609ca9

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.530838Z digest=sha256:b35b481cb7248b7f80706fc61c66ec9a28404a55aefaf15e542863832e6e3717

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.535270Z digest=sha256:d0edcc3ce567053123c68f8ad7b131afc5112bb32d5ff86a3c98eaa1db9be650

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.539539Z digest=sha256:a6157b2b90382ad7d176f87cbf281c52f4c16b8115d87e66266de7764c7733e8

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.544293Z digest=sha256:f60784e458bc69837b4f74cdca76a19eafd9848d18f941739aec117f5627b780

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.548472Z digest=sha256:056252efc6d5f143276e4af44f2d2de6a678728053becd27471339f15f461c11

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=sha256:625fe1f6e1c117cd92b3e69045086551c6fdf879718b6470f6001a024afe6126

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:ffc9a394dba6ae43ad4bce1644ad0c72ce2f9f9ca1b2c09e00f66d31ba58b413

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.562896Z digest=sha256:eb0f5adee0805486b5d2daf13b01d5a7d41ea6bddd7da2681bf4fc864010feb1

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.567042Z digest=sha256:f41aab7be7d2d026cc8672b055f77262380b915a4a910a51c98d1f98b27559a8

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.571383Z digest=sha256:b230d2998d2ee934a69ad0c21b125264ac11b0fb7e170c72e6b9da5c39974558

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.575927Z digest=sha256:6131be09a2b654bae47eaa3adea78f6b145095bc0819e6fca3159908021ab909

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=sha256:39d768c727c39e5230954c619071402c8b6fac1e867f4a6857879674ccecb729

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:ef25dca0caaed5efc109fa55d15c45423d390380f0a8ab680cbf04827e87493d

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:a120cffe0c2d8673e9dc9a1787acaf1354046baa8a38f0191370973dc1066e61

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=sha256:0f6d2dcf0830b0dad44fea01d15db776590965d2e2ba0b3a75522ae9e9861260

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.598146Z digest=sha256:a003015d3dffdc5544c36ea3aa245c87ca94eece416523189f31c6f72e1fd164

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.602088Z digest=sha256:656b2c5ce0aa1688a162f14c08607531c5427236c50ba043582e1cb93f4b7c2b

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.606499Z digest=sha256:f194177c93394de6f3d42c126ddbbd4ce0c2adb076903d5664efa23b223d09c9

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:d1782d098d7676f73f6b48cc177e01962f6004bb972e2245f821af8e0397d15c

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=sha256:1c8873b39148c3898b45c24c6bbe7f324acc2580d5bc78717ed530861ceceb56

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:b601ecdfcfeb50a8d97c58f586db8583bc98d9d92eb3d0c20db9ba830d237724

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=sha256:31a36d3399fb997b4c5c8baeb8e7a9dc46a117eac65acec87141362675ce3ddf

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.627741Z digest=sha256:ff0719d44a9beca395ef192b9dd2a25ebd3e40f0164863746c97d1d3bd2b9535

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:dfd37736a1dd0cc7595e739acf1262369a0eec83ee25cb313d6657a7122b0317

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.636404Z digest=sha256:745b246fbefc4d8f053533da85ad174b71551851fd6cfe97f6c7d2366aceeabb

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:b4a8f4b536947519687f77e96f420a9e023cff53a4cd6abc6f3062be272f3fa5

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=sha256:472533fc4abf4e45f7254db93f6635ae70cd8276241a2dbcb9f64a4c9836e172

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.649382Z digest=sha256:e071896be647f065f31054174d97eb6efe18edf704084f9aa306c42f8c803b6c

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.653467Z digest=sha256:9aeed4930bcae13d4cce0658c629d901b382029ac1e7a03afd77a05ebaa8bf49

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.657653Z digest=sha256:88f784e89105237b2d6c906982e29304b715a584750769bf0fffdf2489eb0c31

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.661976Z digest=sha256:74d9a91c74d3dbaec8a03d24502b57d7e2eff7ef78b9680f80f32213b609085c

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.666384Z digest=sha256:b0633bd1dee4dbe3437dbab864ebde5979aab6908468114dd4f9929fc8eef316

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.671028Z digest=sha256:dcd361fede740153c7813edc770cc8b31b28a02c82eda9c1a04058f8cc97fb32

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.675418Z digest=sha256:7383dc5bc344fb87de748eab315a75830b75eb6e0db4b97d355e13bd44157e40

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:e2dade53fd0ab199ed150626ec9d32bbcbb956ab3a935113bb81b30d8ae3e0f9

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.684461Z digest=sha256:f218379f297333df398ce68114a98d3fd35bcc738b4cf4ffc2dc3278f8b7d79f

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.689312Z digest=sha256:0407a9dd1fb8a1ffb152ed526fb79a5d7aa20946b1565dbe6cf683a484684e77

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.693952Z digest=sha256:9fbbee2f27891e564c36af7ac77525d1479dac25562bdcb0374d3a1dd8c7a7bf

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.698506Z digest=sha256:c69b32553621fe816324de9c03d2e76ba0482e176c1ce3d6e755a556261b100b

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.703462Z digest=sha256:4fad8c64150b9834a1c45a0f7fe9c91aec6b22c9c9fef6a624189c83b0d08e11

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.708138Z digest=sha256:651049aef476bbd77ef5301fbc557febee4e077332e375434c83b0c408eba3f8

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.712555Z digest=sha256:faac8ada709a1cfeeb56916d1f2162233c427117203a68e89cfb95fe3b82b414

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.717607Z digest=sha256:c535e49ed002449784fdd1263f5229ab7dd2e4613f62b77d5835aeb1a1e83877

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.721875Z digest=sha256:cd4ab0d3ea095d451a4401363ee1944ebd02dc9bc1162b67d044bf083698ca68

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.726177Z digest=sha256:1edd0699ff742c90bde8a60a89a58818886192da32f62b2d9fa2d249b742309f

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.730256Z digest=sha256:6f9466a0531be3b016040ae3a415f0e080a70627867ab1b937bd56083eff055d

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.734718Z digest=sha256:8e9819a51e4fc4eb34660895cd08d70f110f95016f76c0d816eccd6ab2ead610

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.739343Z digest=sha256:25049893cfbf54040485a5f9e1a6151d4da6bdc6f32463ebb9ef0dee9d0696f7

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.743434Z digest=sha256:3bf6626ac3d939ff3e0e3a1aa170d507f1690367d0f751c4e9088af22de11c23

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T20:40:48.747807Z digest=sha256:e88de1653d122f1a99c61bae3f661d02b5655ad41e748c3041c1cd01ac55b3db

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:ac934ac206e748115488c2d1230547594def9d7972fe482d053419ff80ad5e19

Pith citing papers

No inbound Pith citation observations are available.