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Paper Citation Record · LEDGER

Faster Rates for Compressed Federated Learning with Client-Variance Reduction

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2112.13097.

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

pith.paper-citation-record.v1
2112.13097 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T05:49:28.713982Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:49:40.600890Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b509828a-75c0-46a8-814a-3eb0f6c21d06 · inbound

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits cites this paper.

Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits Faster Rates for Compressed Federated Learning with Client-Variance Reduction

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:05:54.736859Z

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=2026-05-11T02:52:53.588595Z digest=sha256:ff2b8209100602f3bc722b09b6e880ee6b63ae2c2e254c400da14cf2bd4a3592

Observation 263431ec-1c06-4877-a5e8-bdde48713a12 · inbound

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction cites this paper.

Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction Faster Rates for Compressed Federated Learning with Client-Variance Reduction

Reference 163

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:51:32.146953Z

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=2026-05-12T01:51:20.003552Z digest=sha256:b09ee4e88c0df0e1a879a1c18926ee9ce45b417af4ae307ff18085d1f4d4e957

Observation 12df0ea9-ade1-4f70-bfab-4dfc55b7fd9a · inbound

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity cites this paper.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Faster Rates for Compressed Federated Learning with Client-Variance Reduction

Reference 270

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:32:52.055919Z

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=2026-05-14T19:31:12.149482Z digest=sha256:8e7a2b640380a2e0d139b315c9c9934fa8604ae4c50c86630a026e032f54c41f

Observation e3dc0d04-0118-4016-88dd-4abe896bf8a9 · inbound

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method cites this paper.

Ringmaster LMO: Asynchronous Linear Minimization Oracle Momentum Method Faster Rates for Compressed Federated Learning with Client-Variance Reduction

Reference 165

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:13:18.569808Z

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=2026-05-20T13:08:52.912250Z digest=sha256:92382dbf9b46507f0e31d9ff39c6397fe9265368df1785d552dee87b2c62c927

Observation efc34ce4-b5b6-427b-8dfa-ecaacd5b4ab6 · inbound

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging cites this paper.

LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging Faster Rates for Compressed Federated Learning with Client-Variance Reduction

Reference 167

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:49:40.602793Z

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=2026-05-21T05:49:28.713982Z digest=sha256:62578b56285011d574b82b48e34ad8ad145558703fda8a0d0f6a24d25f291fec