Paper Citation Record · LEDGER

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks

As of 18 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2412.13054.

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

pith.paper-citation-record.v1
2412.13054 v3

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T06:43:37.852871Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:11:09.683338Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

verified exact11
verified fuzzy28
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9221ea87-87d9-4d85-9dd0-18b10a00a2b5 · outbound

This paper cites A LGHUNAIM , K.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks A LGHUNAIM , K

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.464153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e625a327-d0e9-4503-82f2-34ce1fa357e5 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.455031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 049ad12b-4ac8-462b-bf7c-ac071d1860a9 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.460557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8f5d71d-b489-4694-93e1-1f7258539fcd · outbound

This paper cites ARJEVANI , Y.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks ARJEVANI , Y

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.427677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c0293b5c-a418-46b4-af5d-1d2fd825c575 · outbound

This paper cites ATTOUCH , J.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks ATTOUCH , J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.413301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c7617a7-376c-4a60-b5da-ff7e35442dfa · outbound

This paper cites B ECK, First-order methods in optimization, SIAM.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks B ECK, First-order methods in optimization, SIAM

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.434591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5502494-2423-44ca-b069-97cadcf532e0 · outbound

This paper cites BIANCHI AND J.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks BIANCHI AND J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.409292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a6ea281f-9fd6-430d-b6ec-5711b5104e79 · outbound

This paper cites B OTTOU , F.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks B OTTOU , F

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.418852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 746bb001-998b-477f-be04-3d3f43391744 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.423613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3dd54607-f591-4591-a73b-7f18716c89f9 · outbound

This paper cites C HIERCHIA , E.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks C HIERCHIA , E

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.430964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11c5a01e-2e88-4c2c-8df1-0fce8a0a0caf · outbound

This paper cites D AVIS AND D.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks D AVIS AND D

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.440107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22d8de2a-1e8a-471b-a04d-0cfe79517d2d · outbound

This paper cites DI LORENZO AND G.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks DI LORENZO AND G

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.448996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab0e9570-6b9f-4d70-a395-eda8eb04702b · outbound

This paper cites D RUSVYATSKIY AND A.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks D RUSVYATSKIY AND A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.387576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f104c2a-5f57-49b8-bd38-22b50fd99f4d · outbound

This paper cites E L GHECHE , G.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks E L GHECHE , G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.391509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e481731e-42fd-4094-935e-8fc2221c226e · outbound

This paper cites G HADIMI , G.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks G HADIMI , G

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.395864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f73e0df9-8e72-4d98-b52e-7e82c97fb36b · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.403102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f5a307e-3857-4b32-9fed-cd6a3cf90f6b · outbound

This paper cites H UANG , X.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks H UANG , X

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.379246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f4cf60c6-6581-49be-9ae7-9e016c345ff2 · outbound

This paper cites CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:45:28.331937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8487cd22-3e30-49d4-a896-dc4de9e3fced · outbound

This paper cites An Accelerated Distributed Stochastic Gradient Method with Momentum.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks An Accelerated Distributed Stochastic Gradient Method with Momentum

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:45:28.321449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a4fe5b7-e244-4209-af8e-dab75537df98 · outbound

This paper cites Distributed Random Reshuffling Methods with Improved Convergence.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Distributed Random Reshuffling Methods with Improved Convergence

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:45:28.320183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f0a1e303-62ed-4c4d-a804-828aac9e8203 · outbound

This paper cites Analysis of Decentralized Stochastic Successive Convex Approximation for composite non-convex problems.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Analysis of Decentralized Stochastic Successive Convex Approximation for composite non-convex problems

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:45:28.330856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8afcf3fc-519e-4e09-b6c3-0ddde30a3ec7 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.375820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 58479659-c8da-4dfe-ae16-ac81fbf5782d · outbound

This paper cites K HALED AND P.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks K HALED AND P

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.365427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 38fec43f-3eb8-4fad-87e5-284e914a573b · outbound

This paper cites L ECUN, Y.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks L ECUN, Y

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.369676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c2b66ed-4e36-4f23-a2d3-100303eee36f · outbound

This paper cites Gradient-based learning applied to document recognition.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Gradient-based learning applied to document recognition

Reference 25

Resolution: verified exact; doi, observed 2026-05-23T06:45:28.160882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebaf457f-20c0-43b8-abf1-5b1fd1d406a6 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.361897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5c21009f-c4d8-4b1e-80da-4989402ec4e5 · outbound

This paper cites L I AND A.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks L I AND A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.356435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 602e6ebc-80c0-4638-ab6a-12017bf78c09 · outbound

This paper cites A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:45:28.349713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 201b5af0-e92b-435a-b3cc-8fd1f49e8955 · outbound

This paper cites Decentralized Composite Optimization with Compression.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Decentralized Composite Optimization with Compression

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:45:28.326551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a2e7dff-c613-4829-a849-c7c3c024cd99 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.382437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 93ab1766-ff0b-45c9-880a-ad8ce0daf09c · outbound

This paper cites M ANCINO -BALL , S.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks M ANCINO -BALL , S

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.352623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f6426195-2e9a-46bc-bce1-2f35981de956 · outbound

This paper cites M ILZAREK AND J.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks M ILZAREK AND J

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:45:28.325479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07b54fb5-4dfc-4766-a64e-e567df0fd1ef · outbound

This paper cites M ILZAREK , X.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks M ILZAREK , X

Reference 33

Resolution: verified exact; doi, observed 2026-05-23T06:45:28.154404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 545f00b4-299b-496a-b0ad-ca28b0471e9d · outbound

This paper cites N EDI ´C, A.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks N EDI ´C, A

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.399771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3cc66460-ad52-4a4f-a27b-979cb54c0db9 · outbound

This paper cites N EDI ´C, A.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks N EDI ´C, A

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.445124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee17e854-9f19-4b7b-bd5d-7250453aa23a · outbound

This paper cites N EDIC AND A.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks N EDIC AND A

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.536670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1bdcc82-a7c8-428a-8615-52d09ca3c9ac · outbound

This paper cites N EDI ´C, A.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks N EDI ´C, A

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.544594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d163c72-9c76-4495-8d3d-48207d3cfa94 · outbound

This paper cites O LSHEVSKY , Asymptotic network independence and step-size for a distributed subgradient method, Journal of machine learning research, 23 (2022), pp.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks O LSHEVSKY , Asymptotic network independence and step-size for a distributed subgradient method, Journal of machine learning research, 23 (2022), pp

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.548530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae439b73-3b35-4890-9b72-c210e9b838bf · outbound

This paper cites O UYANG AND A.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks O UYANG AND A

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.530188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ee5c485-8deb-45f5-93e2-9c05ab1cc8ec · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.511207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d71c941a-8b68-4739-97c7-9c94784c4434 · outbound

This paper cites R AVAZZI, S.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks R AVAZZI, S

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.501612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36f2e5d7-7d75-42c5-9f26-de8fee5a720b · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.515312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 614d38da-d72a-4444-9e31-a19724c56b2f · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.521414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc798a2a-5a76-499e-9564-7336a7943466 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.526443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a589bb65-f41e-4e3f-a826-efb2ec5450d3 · outbound

This paper cites A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:45:28.342625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation acd1de49-e510-44ed-831a-7cc645029bbb · outbound

This paper cites WANG , J.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks WANG , J

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:45:30.494791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 191609ac-3fe7-4e52-a387-d82793451479 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.498132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b7817ce-fd4d-4d94-9c15-522a19b5b09b · outbound

This paper cites A Stochastic Proximal Gradient Framework for Decentralized Non-Convex Composite Optimization: Topology-Independent Sample Complexity and Communication Efficiency.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks A Stochastic Proximal Gradient Framework for Decentralized Non-Convex Composite Optimization: Topology-Independent Sample Complexity and Communication Efficiency

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:45:28.337077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a974938b-3a5e-407f-880c-a1f38b05a37c · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.541193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1dfba715-42bd-4c91-882d-e1f39a75c348 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.484404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43631fd1-2742-478d-9eaa-779ebc15c5ed · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.478672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 240a86c5-2252-49db-a2c9-f27e6eea0de5 · outbound

This paper cites an unresolved cited work.

Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-05-23T06:45:30.490622Z

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Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Y UAN, B

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Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Z ENG AND W

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Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks Z OU AND T

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Pith citing papers

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Achieving Linear Speedup for Composite Federated Learning cites this paper.

Achieving Linear Speedup for Composite Federated Learning Distributed Normal Map-based Stochastic Proximal Gradient Methods over Networks

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