Paper Citation Record · LEDGER

Communication Compression for Distributed Learning without Control Variates

As of 21 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2412.04538.

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

pith.paper-citation-record.v1
2412.04538 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:37:36.834608Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:37:36.774003Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:53:31.212543Z

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy19
unresolved3
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd590159-51d6-46ef-8efe-c1a91a3e347c · outbound

This paper cites Communication Compression for Distributed Learning without Control Variates.

Communication Compression for Distributed Learning without Control Variates Communication Compression for Distributed Learning without Control Variates

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:36.774003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a333f516-3242-4bd6-a042-b61f1d728d63 · outbound

This paper cites In [7], the authors study the error feedback mechanism for one-bit per coordinate bi- ased compression.

Communication Compression for Distributed Learning without Control Variates In [7], the authors study the error feedback mechanism for one-bit per coordinate bi- ased compression

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:37.029444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ffffdd3-08f1-4fc2-ab5b-a351e16a4c44 · outbound

This paper cites QSGD: Communication-efficient SGD via gradient quantization and encoding,.

Communication Compression for Distributed Learning without Control Variates QSGD: Communication-efficient SGD via gradient quantization and encoding,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.983626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa1b185d-b486-4fc1-a0df-9b0109cc8b0c · outbound

This paper cites an unresolved cited work.

Communication Compression for Distributed Learning without Control Variates Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:37:37.021935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d4cd0e18-1f60-432c-adad-fb35e0311014 · outbound

This paper cites The selected datasets are MNIST, EMNIST, and CIFAR-100, and we fol- low [17] to choose models for the three datasets, which are CONV4,CONV4, and ResNet-18, respectively.

Communication Compression for Distributed Learning without Control Variates The selected datasets are MNIST, EMNIST, and CIFAR-100, and we fol- low [17] to choose models for the three datasets, which are CONV4,CONV4, and ResNet-18, respectively

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T21:37:37.014582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11efdab0-df54-4cb3-9e66-5494fc3f4661 · outbound

This paper cites By leveraging the previous aggregated update,CAFe makes local updates more compressible, reducing upload costs for biased compressors.

Communication Compression for Distributed Learning without Control Variates By leveraging the previous aggregated update,CAFe makes local updates more compressible, reducing upload costs for biased compressors

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:37.006895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6caaec4c-c8c0-4141-b6b4-12db62358dc7 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Communication Compression for Distributed Learning without Control Variates Communication-efficient learning of deep networks from decentralized data,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.998903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9105adf6-a233-4058-aaf8-33a643c90460 · outbound

This paper cites Advances and open problems in federated learn- ing,.

Communication Compression for Distributed Learning without Control Variates Advances and open problems in federated learn- ing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.991157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 54fc7409-f6d4-43c9-8d5d-c249bdf1aaf1 · outbound

This paper cites PowerSGD: Practical low-rank gradient com- pression for distributed optimization,.

Communication Compression for Distributed Learning without Control Variates PowerSGD: Practical low-rank gradient com- pression for distributed optimization,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.976009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 36da8dcb-c384-4db1-8dbe-a97da438ce60 · outbound

This paper cites Sparse communica- tion for distributed gradient descent,.

Communication Compression for Distributed Learning without Control Variates Sparse communica- tion for distributed gradient descent,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.968561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ab3c8e1-be1c-4049-a06f-9e6ba1538d4a · outbound

This paper cites On biased com- pression for distributed learning,.

Communication Compression for Distributed Learning without Control Variates On biased com- pression for distributed learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.960798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a0e290c4-b48b-486e-8fcc-f6c5d588c35c · outbound

This paper cites Error feedback fixes signSGD and other gradient compression schemes,.

Communication Compression for Distributed Learning without Control Variates Error feedback fixes signSGD and other gradient compression schemes,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.952628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7811709b-7b4e-4e1d-b635-e6825926acd0 · outbound

This paper cites Multiple-description video coding using motion-compensated temporal prediction,.

Communication Compression for Distributed Learning without Control Variates Multiple-description video coding using motion-compensated temporal prediction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.944541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc50632d-55ef-491c-b31f-3f3f3fab401b · outbound

This paper cites SCAFFOLD: Stochastic controlled averaging for federated learning,.

Communication Compression for Distributed Learning without Control Variates SCAFFOLD: Stochastic controlled averaging for federated learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.936416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 911ca084-cb99-4e20-8fa5-827d1dcb42cb · outbound

This paper cites Sparsified SGD with memory,.

Communication Compression for Distributed Learning without Control Variates Sparsified SGD with memory,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.928786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e708350-ca6d-4455-abe0-19c294f8b244 · outbound

This paper cites The convergence of sparsified gradient methods,.

Communication Compression for Distributed Learning without Control Variates The convergence of sparsified gradient methods,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.921517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf2ea2f5-9a57-4d82-a0bc-1970bf637b8f · outbound

This paper cites Decentralized stochastic optimization and gossip algo- rithms with compressed communication,.

Communication Compression for Distributed Learning without Control Variates Decentralized stochastic optimization and gossip algo- rithms with compressed communication,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.913611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73aaa9d5-00b5-4f44-b1f0-bdcbb1a44de7 · outbound

This paper cites Gossiped and quantized online multi-kernel learning,.

Communication Compression for Distributed Learning without Control Variates Gossiped and quantized online multi-kernel learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.905306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ee8b64f-190d-4c92-bde6-a9266b8f9334 · outbound

This paper cites Asynchronous federated learning with bidirectional quantized commu- nications and buffered aggregation,.

Communication Compression for Distributed Learning without Control Variates Asynchronous federated learning with bidirectional quantized commu- nications and buffered aggregation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.897021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e987680f-4fb8-4697-8747-6eee5dc8f020 · outbound

This paper cites Quantized and asynchronous federated learning,.

Communication Compression for Distributed Learning without Control Variates Quantized and asynchronous federated learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.888178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 796d2cf0-2fd9-48d6-984d-e758618b5ef7 · outbound

This paper cites EF21: A new, simpler, theoretically better, and prac- tically faster error feedback,.

Communication Compression for Distributed Learning without Control Variates EF21: A new, simpler, theoretically better, and prac- tically faster error feedback,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.879707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8be0b749-e5c2-4051-8539-54efb333e771 · outbound

This paper cites Adap- tive compression in federated learning via side informa- tion,.

Communication Compression for Distributed Learning without Control Variates Adap- tive compression in federated learning via side informa- tion,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:37:36.870918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ac4e283-c000-4898-b83e-985dde295732 · outbound

This paper cites Effective Interplay between Sparsity and Quantization: From Theory to Practice.

Communication Compression for Distributed Learning without Control Variates Effective Interplay between Sparsity and Quantization: From Theory to Practice

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T21:37:36.834608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cd590159-51d6-46ef-8efe-c1a91a3e347c · inbound