Pith. sign in

Paper Citation Record · LEDGER

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes

As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2412.11207.

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

pith.paper-citation-record.v1
2412.11207 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:15:38.876424Z

measured 13 of 13 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 2026-08-09T20:46:11.306434Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T20:46:11.380948Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24c32a01-fd0e-4dc4-8ceb-30b03829e087 · outbound

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

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Communication-efficient learning of deep networks from decentralized data,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:15:39.154379Z

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.

source=pdf_text observed=2026-08-11T15:15:38.799238Z digest=sha256:ab678fe813d29d0cd6d619306d6578ac3959cc5bfcab9be424f2ac1438487914

Observation d600acd1-b5e6-4f56-aa38-3be17a7d4ca9 · outbound

This paper cites Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:15:39.129364Z

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.

source=pdf_text observed=2026-08-11T15:15:38.805633Z digest=sha256:7cee5952d522e13796a8488845b4ea357fb77c4cbafe4c17d2c2a999ccf22f82

Observation 0f3b7d43-165e-4057-8826-f342721ea12d · outbound

This paper cites Decentralized feder- ated learning: Balancing communication and computing costs,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Decentralized feder- ated learning: Balancing communication and computing costs,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T15:15:38.811786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:15:38.811786Z digest=sha256:bfad563db4ef96a0fe53885496f746181bc48f2ae0c2d6430d7ca5caaf6bcd60

Observation f840600f-53dc-46c2-8bd0-90a9ab9b784c · outbound

This paper cites Communication-efficient federated learning via knowl- edge distillation,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Communication-efficient federated learning via knowl- edge distillation,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:15:39.087374Z

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.

source=pdf_text observed=2026-08-11T15:15:38.818658Z digest=sha256:733180da6b5ff5c8628eec91189eeb164f93433feec68b80690f8637cc4a3d3e

Observation ceb356d7-9174-4550-aed3-c3a6fac4ee72 · outbound

This paper cites Knowledge distillation: A survey,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Knowledge distillation: A survey,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T15:15:38.824725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:15:38.824725Z digest=sha256:8c500fa4e5af2560a3fd0b26099cd925f1d8267c91b811e7425222d59f5682d8

Observation 69f93e1e-0d33-4591-a79b-b6f3d2bb144d · outbound

This paper cites Rethinking federated learning with domain shift: A prototype view,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Rethinking federated learning with domain shift: A prototype view,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:15:39.045742Z

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.

source=pdf_text observed=2026-08-11T15:15:38.832526Z digest=sha256:fb04ecb80231bdba6e402034346e9058718923b1d70253ae8026653c17d3d262

Observation 27bb5004-6628-4f98-b98f-94f9cc8367f6 · outbound

This paper cites Federated mutual learning: a collaborative machine learning method for heterogeneous data, mod- els, and objectives,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Federated mutual learning: a collaborative machine learning method for heterogeneous data, mod- els, and objectives,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:15:38.994962Z

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.

source=pdf_text observed=2026-08-11T15:15:38.845622Z digest=sha256:db5160b42dc88987092e7ff4176b4706fd3ee8aa6a4ac96bf77c3c9f83897264

Observation c3db8b84-d594-4cac-bb91-f06812eb9eb0 · outbound

This paper cites Fedproto: Federated prototype learning across heterogeneous clients,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Fedproto: Federated prototype learning across heterogeneous clients,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:15:38.975699Z

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.

source=pdf_text observed=2026-08-11T15:15:38.851640Z digest=sha256:8ce1e1a0c126853234f0f6b5df71eb3c0804a5f7f05f94bddb3a118158ed26c7

Observation 4fa8ebe4-6fca-43ba-ac6c-bc9cb248e297 · outbound

This paper cites Global prototype distillation for hetero- geneous federated learning,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Global prototype distillation for hetero- geneous federated learning,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:15:38.957760Z

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.

source=pdf_text observed=2026-08-11T15:15:38.857868Z digest=sha256:bb6bd88d675eacb2aeb3a7465fe1a5bfc69f95adcfb4e7c126eaf883a3800342

Observation 971fd612-9935-41d7-b7a0-25a98606cae7 · outbound

This paper cites Ac- celerating federated learning for iot in big data analytics with pruning, quantization and selective updating,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Ac- celerating federated learning for iot in big data analytics with pruning, quantization and selective updating,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:15:39.017783Z

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.

source=pdf_text observed=2026-08-11T15:15:38.863896Z digest=sha256:f27237804deaf37a954b738ede29be77f37c010ca9f320f6925b44fdc5e805ce

Observation e0c2b627-b2cd-4593-8a24-4faf53552472 · outbound

This paper cites Fedstellar: A platform for decentralized federated learning,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Fedstellar: A platform for decentralized federated learning,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T15:15:38.869233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:15:38.869233Z digest=sha256:7352b449a020cb62a7059c5d7a5e331a1a74bbfc41500d33f0ea73f87ce93c6f

Observation 8a48fbc2-9779-4fdf-bab7-f0e019dcfba6 · outbound

This paper cites NEBULA: A Platform for Decentralized Federated Learning - Communication Optimization,.

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes NEBULA: A Platform for Decentralized Federated Learning - Communication Optimization,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:15:38.925602Z

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.

source=pdf_text observed=2026-08-11T15:15:38.876424Z digest=sha256:e3a3b68e4963f6369c610a71c2d944da173fbec47070ae0f03feba7793116fd2

Pith citing papers

Observation 0b06e7e1-b944-4423-b73d-c1ea86129018 · inbound

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning cites this paper.

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-09T20:46:11.388759Z

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.

source=pdf_text observed=2026-08-09T20:46:11.306434Z digest=sha256:ba497faea87c47188b7365caf5129e7d9d580b1203894dd49fb26022ddf903fc