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Paper Citation Record · LEDGER

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2412.11660.

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

pith.paper-citation-record.v1
2412.11660 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:49:21.461766Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:18:57.580774Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:19:03.097823Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ffe2bfb8-36fa-4d92-908a-d39502c8157f · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:21.321144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:49:21.321144Z digest=sha256:7c651cffc2ab2eca38407b057ebbca43e1864340f69046d5f0c73a6a58653011

Observation 9d9afb03-d570-4622-906b-2984c5062f97 · outbound

This paper cites write newline.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:21.328372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:49:21.328372Z digest=sha256:1751b2247da7b9cf99d4e4a283860b45b6c879a53737dd3820de8b509b4d9cba

Observation 946eb213-151f-485d-b7d2-4052b9258a6e · outbound

This paper cites Federated Learning Based on Dynamic Regularization.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Federated Learning Based on Dynamic Regularization

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:21.334496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:49:21.334496Z digest=sha256:ee0fac2203be36596ac4d13327c1804f06f80c19f2a9c1790cc1cadc4867467b

Observation 90958422-a707-44e6-b579-ada4ad53980e · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.940453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.341736Z digest=sha256:b070649b93dba240af5c55e96cd977adf5eefe15cc4636d5b08abc42060658c9

Observation ef5e0384-0906-4500-b5bc-d08dbf38765d · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.923201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.347745Z digest=sha256:cdc2d63ccf39e573a4291f4961c865178e1782a2a28a67c806fe61b3c4197eed

Observation 408d913c-71e5-4448-8d69-d0d749476fe5 · outbound

This paper cites S.; and ufuk topcu.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning S.; and ufuk topcu

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:49:21.907831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.353906Z digest=sha256:9f30a48742047653643188abefb791e7e87a331c7ab669cd8f49efec9abeb517

Observation 902232e1-02dc-41e0-b63e-0a17771946bd · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.892617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.359313Z digest=sha256:b9c232d55a64bc553b514a9fa33a029d19a449cfd259c507811e94d51cdad067

Observation 3ea7ebd8-c6e1-48de-8f8b-9db48f990d73 · outbound

This paper cites M.; Mokhtari, A.; and Mahdavi, M.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning M.; Mokhtari, A.; and Mahdavi, M

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:49:21.873710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.365343Z digest=sha256:180758f0b8d535c4d348d05a8230eea628368fd9e0d92ac7e9e6740de3a7f315

Observation 4b23018a-c5c7-40c7-91ab-8a3505cc4890 · outbound

This paper cites J.; Aristizabal, A.; George, J.; et al.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning J.; Aristizabal, A.; George, J.; et al

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:49:21.856539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.371471Z digest=sha256:06de0efc71637ff7ccfcd48f9dc6b3efe98bce7a38e6d89d7ba89742e50cb675

Observation e0fcecd2-c2f0-4b04-8357-245811949449 · outbound

This paper cites Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:21.375923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:49:21.375923Z digest=sha256:9aacf9c9b8e7e9ae945f49de2554112853d478119cbbe43f9b4b9ae3bfb3cc6d

Observation f75ee386-7b5e-4131-a6bc-4604633403fe · outbound

This paper cites P.; Kale, S.; Mohri, M.; Reddi, S.; Stich, S.; and Suresh, A.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning P.; Kale, S.; Mohri, M.; Reddi, S.; Stich, S.; and Suresh, A

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:49:21.840501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.381713Z digest=sha256:ac7a1178161bf8e7fb24dfd219f5439e929e000185cbfe89705bbd35ef185460

Observation 72e349d8-b9cb-4ce9-954c-474195ce9906 · outbound

This paper cites Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Distributed Stochastic Non-Convex Optimization: Momentum-Based Variance Reduction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:21.386773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:49:21.386773Z digest=sha256:4c0e92c541bda48813607e05311427a48abb3206a89665121ddb11f8226736d8

Observation 10785b95-9083-49e6-8a79-88925c22f0e6 · outbound

This paper cites STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:49:21.572894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.392019Z digest=sha256:658c060e4703d351cf422056e0176ff7199762f1a63b909d335197f2123bdf49

Observation fe117942-21a1-4fc1-9462-5135ce469a1b · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.823026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.397607Z digest=sha256:b4280d65ed54e5d1be2ce264552986ff78d2135fe7353bca7f27756eeba497ef

Observation 536a910f-670d-4fab-b128-a5582b5ab993 · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.805664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.403043Z digest=sha256:400b906855ea89862386bf1ce26c865986df6fd2c37f32d547d4ed6ed29c512d

Observation 64fd858a-6438-4c81-8c0c-3f94b37ee3bb · outbound

This paper cites Federated Optimization in Heterogeneous Networks.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Federated Optimization in Heterogeneous Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:21.408680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:49:21.408680Z digest=sha256:0654ae44bd5a44031e3068bec2b71b19ad3144ad283f60e73a797d8b1b96af54

Observation 55f94e46-3c1d-4338-8e0b-12a4f97f6771 · outbound

This paper cites B.; Moore, E.; Ramage, D.; Hampson, S.; and y Arcas, B.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning B.; Moore, E.; Ramage, D.; Hampson, S.; and y Arcas, B

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:49:21.788075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.413817Z digest=sha256:6eebc94548e7d3b0b6526db9fa6fa622983d778788fe12b9f6cf28ddddcbbe82

Observation e9012139-f162-44e8-b69f-72a69ccd18b6 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:21.418446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:49:21.418446Z digest=sha256:fb0c006ae761447d46594ce692884c014d394182611748f19b03d52a186d7fd1

Observation aefcc721-edf9-4551-a310-4b7665bb85eb · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.771382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.424126Z digest=sha256:5474c9e7bbb81b1b417dfcf4b66fcb741283b43f85f7011bc4639f8cf3703e49

Observation 8c72fece-9e31-496f-b19f-bcb960fea51b · outbound

This paper cites B.; Zaheer, M.; Garrett, Z.; Rush, K.; Konečný, J.; Kumar, S.; and McMahan, B., eds.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning B.; Zaheer, M.; Garrett, Z.; Rush, K.; Konečný, J.; Kumar, S.; and McMahan, B., eds

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T14:49:21.753283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.430647Z digest=sha256:cf15b871d29c5cdb27f286bf3c7916871b8d7fc552d6eed237ce4f6a1208c989

Observation 432ebdeb-eee7-4bb4-91ec-834d14699795 · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.729677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.435545Z digest=sha256:cb9ca518f8df78ed1c0134130c182a6b787818f5aaf291444935580772eb56f2

Observation a9d188c6-38ea-4d37-82e8-9bacae2b9ab8 · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.712165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.440521Z digest=sha256:477926c972060ac471c66493baeac72f0361ecf2c83419fc987cf885c3638561

Observation e1734ae2-12f3-443b-8efc-f2c78f4d48eb · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.693979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.445802Z digest=sha256:2d7a2001ab86dd0dc0182ccd42786b9ee255b6f8db62a624cdaa8ec2f23b568e

Observation 6269039f-b44e-4048-839b-b24dedba90b8 · outbound

This paper cites Communication-Efficient Adaptive Federated Learning.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Communication-Efficient Adaptive Federated Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:21.451580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:49:21.451580Z digest=sha256:32030979bc82ad8210b62f80e9947bf326f3fdfb617e571f3e2066d9eae5ea89

Observation 3db902e7-e5c7-4d3d-be3f-e912b9caa9f1 · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.676757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.456756Z digest=sha256:6f37767650f30a4bfe3163b6fcd643538d887548600ac935c3cb6e73b096d780

Observation b18de605-9ca0-467f-aec5-1be0183cccab · outbound

This paper cites an unresolved cited work.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T14:49:21.658528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:49:21.461766Z digest=sha256:a1b99f5433acfb3061928f34bd4ff602b951f387d3477a5daf771f84e3a0ca5f

Pith citing papers

Observation 8e79c0db-edb9-467c-be14-44949ed8e1b5 · inbound

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review cites this paper.

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:19:03.261208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:18:57.580774Z digest=sha256:51b421c1a9ce86c5b60c0a0945ae311c2df3111632b14e1558d2cf85a73a2c77