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Paper Citation Record · LEDGER

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning

As of 17 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2506.13561.

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

pith.paper-citation-record.v1
2506.13561 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:07:26.598389Z

measured 62 of 62 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

  • verified exact2
  • verified fuzzy52
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46edba65-f55e-4568-8086-edffaac994f6 · outbound

This paper cites Byzantine-resilient secure aggregation for federated learning without privacy compromises,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Byzantine-resilient secure aggregation for federated learning without privacy compromises,

Reference 1

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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.

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Observation 455524c6-6893-4d2b-9297-f3fe938a0fab · outbound

This paper cites Lobyitfl: Low communication secure and private federated learn- ing,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Lobyitfl: Low communication secure and private federated learn- ing,

Reference 2

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raw_fallback, observed 2026-08-15T20:07:27.291515Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T20:07:26.379160Z digest=sha256:f2feed874a3e4459b98ea40143e5848102173feceebfd39b536efd6e6366e4bf

Observation 365b9a83-c7cc-482a-ab2a-a71d93b13d2c · outbound

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

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:26.382688Z digest=sha256:989a1de472d361b169be4e09d7061e4b40bb53611e1b32299bece41d0e209676

Observation 7115b9f4-ac8b-43f4-936c-d42025ee7f20 · outbound

This paper cites Deep leakage from gradients,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Deep leakage from gradients,

Reference 4

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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=2026-08-15T20:07:26.386701Z digest=sha256:1001d85a8c2e99047240dce726ecac64b88f1f7db7f151e1e8e7d32aef4bcda0

Observation a04f41ed-f47e-4467-a31a-91def93dc6ba · outbound

This paper cites Inverting gradients: How easy is it to break privacy in federated learning?.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Inverting gradients: How easy is it to break privacy in federated learning?

Reference 5

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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=2026-08-15T20:07:26.390239Z digest=sha256:e7747322c3801be52d9a83c7392965c6ee270dbea1dfdeacab09ee35515d9148

Observation b417375c-b169-42a5-8c63-37baf2fd3c0e · outbound

This paper cites Practical secure aggregation for privacy-preserving machine learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Practical secure aggregation for privacy-preserving machine learning,

Reference 6

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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=2026-08-15T20:07:26.393997Z digest=sha256:0bb6c74f315c7741d0a0e06c4e21dc41ea0c59642cc59e0f7d4115cd19fc02cd

Observation eba0edd4-cec4-40d0-b69d-c7accf64e9a5 · outbound

This paper cites Privacy- preserving deep learning via additively homomorphic encryption,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Privacy- preserving deep learning via additively homomorphic encryption,

Reference 7

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raw_fallback, observed 2026-08-15T20:07:27.244702Z

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=2026-08-15T20:07:26.398019Z digest=sha256:2949ee04943a0d8521c62f86825ee862d52e08c46490c4d894dbd1bd93f847dc

Observation 0c36ffa1-0186-4c57-bfad-b4f52cf8ae56 · outbound

This paper cites Advances and open problems in federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Advances and open problems in federated learning,

Reference 8

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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=2026-08-15T20:07:26.401557Z digest=sha256:bcb7a3dedee700464e4b2f49d8b5782a461b883e30f1e31214001a34def57a5d

Observation 9c0e5d91-55c6-4cdf-bbae-997a94c56a35 · outbound

This paper cites The byzantine generals prob- lem,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning The byzantine generals prob- lem,

Reference 9

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raw_fallback, observed 2026-08-15T20:07:27.223735Z

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=2026-08-15T20:07:26.405111Z digest=sha256:f96728418172f6374713beb5c14256e8d91959c03d933ad5a2672fa0ac7bd7c2

Observation cdbd881a-8fb1-4a3f-804d-bbcab0373e6f · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 10

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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=2026-08-15T20:07:26.408545Z digest=sha256:696ef8a3be64a03bda0ff4efe3e9d52371f1e82095569a50e488fd0b232bec44

Observation 5d4f342f-0018-45d8-9f24-39b28668192a · outbound

This paper cites Byzantine-robust dis- tributed learning: Towards optimal statistical rates,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Byzantine-robust dis- tributed learning: Towards optimal statistical rates,

Reference 11

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

source=pdf_text observed=2026-08-15T20:07:26.411918Z digest=sha256:7a9e0f1792197f1cda3886d0bcafa676cd30fc11712a53da96d27e06d2334cfd

Observation e4087e85-e9d6-4b3c-b7b6-db59ff95a43f · outbound

This paper cites The hidden vulnerability of distributed learning in byzantium,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning The hidden vulnerability of distributed learning in byzantium,

Reference 12

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raw_fallback, observed 2026-08-15T20:07:27.193527Z

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=2026-08-15T20:07:26.416525Z digest=sha256:72007c1e5e3c636dfe8db498343a2577466148ddd772a0e99c987757e431d987

Observation b1f43dcb-d767-4fda-807c-1b09ffe91d4c · outbound

This paper cites Fltrust: Byzantine-robust federated learning via trust bootstrapping,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Fltrust: Byzantine-robust federated learning via trust bootstrapping,

Reference 13

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source=pdf_text observed=2026-08-15T20:07:26.420382Z digest=sha256:75b3ddf82cc8fce82fa26637cfbc4dd7199fa469903ea1c11ff6418af399d1f1

Observation 1e3a654c-0bff-4284-a70a-44c4d8211483 · outbound

This paper cites Fedinv: Byzantine-robust federated learning by inversing local model updates,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Fedinv: Byzantine-robust federated learning by inversing local model updates,

Reference 14

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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=2026-08-15T20:07:26.424316Z digest=sha256:5e4a65b90b2b424f9c86c6e50ecfed59ffdf8ab347679f0bfbe24a6ba7329af0

Observation cfd7abcd-0636-4ca1-86f9-9cb1ef6251ee · outbound

This paper cites Guerraoui, N.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Guerraoui, N

Reference 15

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raw_fallback, observed 2026-08-15T20:07:27.162182Z

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

source=pdf_text observed=2026-08-15T20:07:26.427804Z digest=sha256:b68df58d972f76fbc3f24c74cfd49ec95c39f7f222835467b96318835f60c08a

Observation 8c766de8-f97a-4785-8950-7f3749a3f5d7 · outbound

This paper cites Secure Byzantine-Robust Distributed Learning via Clustering.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Secure Byzantine-Robust Distributed Learning via Clustering

Reference 16

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local_arxiv, observed 2026-08-15T20:07:26.748025Z

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

source=pdf_text observed=2026-08-15T20:07:26.431365Z digest=sha256:a34486cc1312e34f6e05b6efa1416693d614acff9053a2628063c05075cc7375

Observation 4b8260ce-e447-4c9e-b87d-7af0dfd475d0 · outbound

This paper cites Fedgt: Identification of malicious clients in federated learning with secure aggregation,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Fedgt: Identification of malicious clients in federated learning with secure aggregation,

Reference 17

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source=pdf_text observed=2026-08-15T20:07:26.435355Z digest=sha256:019bcf8ab43ee202eb399739afd98a55be49f817a819f5b3956eb8d5c75222b4

Observation 7dc9b14b-3c7f-4719-97eb-6326a10ba0ce · outbound

This paper cites Secure Byzantine-Robust Machine Learning.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Secure Byzantine-Robust Machine Learning

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:26.438891Z digest=sha256:e7d16ab97153475f948e09be4730d0eb349cc0af194de9d3dd3dab66733958af

Observation 57e52e67-239e-4953-b55f-ed30b9cc5b77 · outbound

This paper cites Efficient, private and robust federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Efficient, private and robust federated learning,

Reference 19

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raw_fallback, observed 2026-08-15T20:07:27.142878Z

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

source=pdf_text observed=2026-08-15T20:07:26.443069Z digest=sha256:04b68c7f6a4343a088f11b5e5659db97095ade05a7e81c87b3c403dc674fd543

Observation ce57c5c0-d436-4635-bf56-c22a885db435 · outbound

This paper cites Shieldfl: Mitigating model poisoning attacks in privacy-preserving federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Shieldfl: Mitigating model poisoning attacks in privacy-preserving federated learning,

Reference 20

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raw_fallback, observed 2026-08-15T20:07:27.133366Z

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=2026-08-15T20:07:26.447123Z digest=sha256:6ca0de426bf2238b0e4d0612cc50be4360245937ca3735bd2d7967ac7fcec270

Observation 50422a01-8e8e-4f6f-a982-9cea372f71b2 · outbound

This paper cites Privacy- preserving federated deep learning with irregular users,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Privacy- preserving federated deep learning with irregular users,

Reference 21

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raw_fallback, observed 2026-08-15T20:07:27.123565Z

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=2026-08-15T20:07:26.450680Z digest=sha256:168d08b0049d3001454f969f853f990bfdcbaf06fe1db2cad1d8553d1874a0cf

Observation 822688c0-b581-45ca-89b8-51c9c4e7b79d · outbound

This paper cites Wvfl: Weighted verifiable secure aggregation in federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Wvfl: Weighted verifiable secure aggregation in federated learning,

Reference 22

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raw_fallback, observed 2026-08-15T20:07:27.113576Z

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=2026-08-15T20:07:26.454169Z digest=sha256:8c14086c7ee232bccd22f35896479f6072520497ed287f9646f913df3ae44be1

Observation 5b7eabe9-61a3-465c-a0ec-24cac180e860 · outbound

This paper cites Flod: Oblivious defender for private byzantine-robust federated learning with dishonest- majority,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Flod: Oblivious defender for private byzantine-robust federated learning with dishonest- majority,

Reference 23

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raw_fallback, observed 2026-08-15T20:07:27.103932Z

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=2026-08-15T20:07:26.457810Z digest=sha256:b819bb4314ac36c96e2cde868528fe9fe2e6bb2c927621aa1cb80c09458f4638

Observation 4d7b0827-8c25-465c-ab65-318609a323ef · outbound

This paper cites Rfed: Robustness-enhanced privacy-preserving federated learning against poi- soning attack,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Rfed: Robustness-enhanced privacy-preserving federated learning against poi- soning attack,

Reference 24

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raw_fallback, observed 2026-08-15T20:07:27.094172Z

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=2026-08-15T20:07:26.461450Z digest=sha256:d5360b6f54c38fa3af8111d803ebff993a102dc726f74d2421a5183d1144022a

Observation 6c5d9a6b-1325-404c-8e94-0b86e20bf8f5 · outbound

This paper cites Byzantine-resilient secure federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Byzantine-resilient secure federated learning,

Reference 25

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raw_fallback, observed 2026-08-15T20:07:27.084631Z

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=2026-08-15T20:07:26.464868Z digest=sha256:ece5f0ae13c66325948a5fc44adf09a50b2ccc8298f2ad2b07ff57d5b0a0df0a

Observation 3e75a12c-a963-4d95-8acc-d23b81c43b40 · outbound

This paper cites Byzantine-resistant secure aggregation for federated learning based on coded computing and vector commitment,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Byzantine-resistant secure aggregation for federated learning based on coded computing and vector commitment,

Reference 26

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raw_fallback, observed 2026-08-15T20:07:27.074544Z

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=2026-08-15T20:07:26.468337Z digest=sha256:a473be41729b4e20cbf7e4cedbc3ff842a952dbc4ac39814da3ba038ae21c9e2

Observation 516dfbed-8087-40b4-a4c6-b6dfb1d8c10b · outbound

This paper cites Eiffel: Ensuring integrity for federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Eiffel: Ensuring integrity for federated learning,

Reference 27

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raw_fallback, observed 2026-08-15T20:07:27.064963Z

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=2026-08-15T20:07:26.471878Z digest=sha256:754a2fefad9087eeea24461a3780f8c9f52cd9995db48402db299998b87b53d4

Observation dc0d9e1a-a322-4f2a-802c-317162944c9b · outbound

This paper cites Safefl: Mpc-friendly framework for private and robust federated learn- ing,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Safefl: Mpc-friendly framework for private and robust federated learn- ing,

Reference 28

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raw_fallback, observed 2026-08-15T20:07:27.055317Z

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=2026-08-15T20:07:26.475809Z digest=sha256:30a217a21dc2ce9c6eafd0a7fdd3b9c76684f7129a49b460a1a52d14541b9d8a

Observation 78cf127a-610c-4647-a6a1-517bdcfb14cb · outbound

This paper cites Safelearn: Secure aggregation for private federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Safelearn: Secure aggregation for private federated learning,

Reference 29

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raw_fallback, observed 2026-08-15T20:07:27.044826Z

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=2026-08-15T20:07:26.479293Z digest=sha256:db9dc5a754afb8446bf817ecca0d186fc494e6ea3719b332beaf5e8e62eba7e0

Observation db865cf2-9964-41c1-b5d9-dcbff8f2e928 · outbound

This paper cites Privacy-preserving and byzantine-robust federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Privacy-preserving and byzantine-robust federated learning,

Reference 30

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raw_fallback, observed 2026-08-15T20:07:27.034616Z

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=2026-08-15T20:07:26.482460Z digest=sha256:bc3024c77a1f8f88ab35899793462280c4c42b36b6e63f6dc372b80a561ae417

Observation b7bb18ec-b51d-4e42-8a53-d232586321a3 · outbound

This paper cites Scionfl: Efficient and robust secure quantized aggregation,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Scionfl: Efficient and robust secure quantized aggregation,

Reference 31

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raw_fallback, observed 2026-08-15T20:07:27.024208Z

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=2026-08-15T20:07:26.485888Z digest=sha256:c52736186a090f5a9e93aedf696a4ec00586394122b10527b49ec189a346c2be

Observation da107335-3b4b-4807-a654-c4990a33a936 · outbound

This paper cites Efficient byzantine-robust and privacy-preserving federated learning on compressive domain,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Efficient byzantine-robust and privacy-preserving federated learning on compressive domain,

Reference 32

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raw_fallback, observed 2026-08-15T20:07:27.013275Z

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=2026-08-15T20:07:26.489147Z digest=sha256:a2fb30699644209f1f0cffe84aaa8fb4d53cf468e1c2d1a84ad4740bc10b02b1

Observation e9745b4f-5e77-4cb3-975f-ce23c1c84f86 · outbound

This paper cites Nspfl: A novel secure and privacy-preserving fed- erated learning with data integrity auditing,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Nspfl: A novel secure and privacy-preserving fed- erated learning with data integrity auditing,

Reference 33

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raw_fallback, observed 2026-08-15T20:07:27.003776Z

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=2026-08-15T20:07:26.492492Z digest=sha256:5de68e3b710ca38a4912ef12006e82e0458c5643892de7c72dcee89ee254930d

Observation 17f2c65f-aba0-447c-a868-31fd9d0b5b37 · outbound

This paper cites Robust and verifiable privacy federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Robust and verifiable privacy federated learning,

Reference 34

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raw_fallback, observed 2026-08-15T20:07:26.993637Z

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=2026-08-15T20:07:26.495901Z digest=sha256:e7737693f76c1182d90e0ef7661554f5fa24658e67ba381fb70cfd88f898c4af

Observation 50f48ee5-b664-484a-b46a-9f766aacf2dc · outbound

This paper cites Rofl: Robustness of secure federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Rofl: Robustness of secure federated learning,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.983797Z

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=2026-08-15T20:07:26.499470Z digest=sha256:b1d12108d4956da45b8b056c7cb2346cc2b02df241ee22c807b6c46f7c1c663e

Observation 7e4a9579-4be8-45fd-9b73-18960d1ae958 · outbound

This paper cites Privacy-preserving federated learning compatible with robust aggregators,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Privacy-preserving federated learning compatible with robust aggregators,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.971755Z

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=2026-08-15T20:07:26.503209Z digest=sha256:79c100c3afb7e1aa8c3e0dc4f89a745862ca4bbd18ab39ada81e565da5e38ed7

Observation de939739-e949-45d7-8a56-81348abb1a83 · outbound

This paper cites Priroagg: Achieving robust model aggregation with minimum privacy leakage for federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Priroagg: Achieving robust model aggregation with minimum privacy leakage for federated learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.960287Z

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=2026-08-15T20:07:26.506588Z digest=sha256:9df77c44746bf46fe01037fe10b3b75fc763f5e072b42ba9588d7a116b2ffe1d

Observation 2b8051f4-3795-40e0-ac03-e9c6bdb07d99 · outbound

This paper cites No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:07:26.722859Z

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=2026-08-15T20:07:26.509900Z digest=sha256:e14b919213f804eb6f3b6a792bf59f915ce1a8011b859d19ee877a4e8d670da2

Observation d974250f-01d1-48cd-bbbc-fb678f890a4a · outbound

This paper cites A robust privacy-preserving federated learning model against model poisoning attacks,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning A robust privacy-preserving federated learning model against model poisoning attacks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.949763Z

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=2026-08-15T20:07:26.513616Z digest=sha256:f8cf1b8dcec50714be9b8ea78e928d155016904385b37e81a8f47f031cd4f3a2

Observation 16aa5fef-00e8-456e-9642-855c1d4f7c0d · outbound

This paper cites Local and Central Differential Privacy for Robustness and Privacy in Federated Learning.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Local and Central Differential Privacy for Robustness and Privacy in Federated Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:26.517064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:26.517064Z digest=sha256:19e3f2d0a6ae3de722c0c9b7f68f69f75a8ff6f24d50069008e032c9d6f7b124

Observation 0bcd4606-5cfa-49e4-ba61-fb1db79accd7 · outbound

This paper cites Differentially private byzantine-robust federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Differentially private byzantine-robust federated learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.938993Z

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=2026-08-15T20:07:26.521151Z digest=sha256:cef330e43ab25db732f6e67c66d68732fbd42916fb212585752b039255d5174d

Observation 70c1e348-03a7-47aa-9337-b1020496c060 · outbound

This paper cites On the privacy-robustness-utility trilemma in distributed learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning On the privacy-robustness-utility trilemma in distributed learning,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.928057Z

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=2026-08-15T20:07:26.524604Z digest=sha256:f91c403fbca6e3c79ede29fface46d78185ff4af06a03f214aa85ab525f79927

Observation 27f298af-3441-4ada-bcff-fca335c13553 · outbound

This paper cites DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:26.527988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:26.527988Z digest=sha256:57c5a7b303a591fff9234a6103da229219a5f17454a614cc063d1c3c2178d189

Observation 3c765e4d-c837-4bf9-ba13-ce0ecf8e391e · outbound

This paper cites The fun- damental price of secure aggregation in differentially private federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning The fun- damental price of secure aggregation in differentially private federated learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.917560Z

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=2026-08-15T20:07:26.532229Z digest=sha256:a629a6260af2924d63b046e538d09f73bb1b7b2748a7cf9b6c9a2a95a0b93081

Observation b9dae832-11ff-4fc6-a33a-7365c0d42d8f · outbound

This paper cites How to share a secret,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning How to share a secret,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:26.535532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:26.535532Z digest=sha256:9213d5454b0d25fb3ee71358b3bcf2689e445aee9cc7bf251d2bd8cebe0f5b4c

Observation 49099b9c-b228-44c8-880e-f052bfd4dc02 · outbound

This paper cites On sharing secrets and reed-solomon codes,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning On sharing secrets and reed-solomon codes,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.900448Z

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=2026-08-15T20:07:26.538892Z digest=sha256:925b1518445f4877056ea8ca2b5e58df1a2da4ef2b0d1330f9fd51d68be16e85

Observation f17a7f10-de01-4156-9e26-580fb3891f2b · outbound

This paper cites Lagrange coded computing: Optimal design for resiliency, security, and privacy,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Lagrange coded computing: Optimal design for resiliency, security, and privacy,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.890723Z

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=2026-08-15T20:07:26.542634Z digest=sha256:c228bfe4d9cc3feef88283264df2995ef655a576e6306cf44469fcd13221b482

Observation 2e2c968c-b375-487d-856a-90f8f7080e85 · outbound

This paper cites Semi- homomorphic encryption and multiparty computation,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Semi- homomorphic encryption and multiparty computation,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.880871Z

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=2026-08-15T20:07:26.546488Z digest=sha256:dfbd3e92b6887648f6be7df8c45df455f73fcf7c624e99e2cfaa36aad937cfce

Observation 81b85cb6-1f14-4fde-a968-4523b171bd31 · outbound

This paper cites Simplified vss and fast-track multiparty computations with applications to threshold cryptography,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Simplified vss and fast-track multiparty computations with applications to threshold cryptography,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.871016Z

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=2026-08-15T20:07:26.550032Z digest=sha256:6902bc587cd61fdf6e8620c87783197637c97d5fe2502df89776f545e3e05014

Observation 4d4fe5eb-2172-45d6-8293-e5b1b83de0bf · outbound

This paper cites A full proof of the bgw protocol for perfectly secure multiparty computation,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning A full proof of the bgw protocol for perfectly secure multiparty computation,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.860623Z

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=2026-08-15T20:07:26.553368Z digest=sha256:f4ddb0c31f9d3cdfc4299d20b794cd89cc416f661cfc0901f64637c8fd3127d1

Observation 5ee169ca-d326-47d7-930a-736747a93472 · outbound

This paper cites Efficient multiparty protocols using circuit randomization,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Efficient multiparty protocols using circuit randomization,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.849800Z

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=2026-08-15T20:07:26.558005Z digest=sha256:72726eb638bafd40f83a805f0400f6acc7543b105e260ff8b209d65cf2dac008

Observation 36717721-99a9-4d05-96cc-45fe6f82d895 · outbound

This paper cites Completeness theorems for non-cryptographic fault-tolerant distributed computation,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Completeness theorems for non-cryptographic fault-tolerant distributed computation,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.839725Z

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=2026-08-15T20:07:26.561788Z digest=sha256:c8c55a2724f206cac9c636235a8ab7b89e01d61675643a1aa1d10fbe9a697919

Observation 4f2129ef-51fd-4942-bc63-cb0dcfdf896d · outbound

This paper cites Communication theory of secrecy systems,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Communication theory of secrecy systems,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.829463Z

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=2026-08-15T20:07:26.566403Z digest=sha256:76b31f3848a1e9d4c1e88b646f0a05dd59b3a988e27cbfb2a284f0530167fa25

Observation 30cb4518-857f-4623-8533-383341a91d6f · outbound

This paper cites The mnist database of handwritten digit images for machine learning research,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning The mnist database of handwritten digit images for machine learning research,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.818887Z

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=2026-08-15T20:07:26.570162Z digest=sha256:d91f6d1f9e3703eb565c9bd451e738131d17e4f6a92cf7ab1a886173d76ff227

Observation 85e9369a-0517-4779-b070-5354de2d23dd · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:26.573822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:26.573822Z digest=sha256:44fa348864446aad480b71959bf1fa31979d02f250644fed319e7a9dd2935810

Observation 6534507d-790c-4017-a09f-e9c36fb84d14 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Learning multiple layers of features from tiny images,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.809329Z

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=2026-08-15T20:07:26.577745Z digest=sha256:2db30432f8355b87a706903f443a09510b05368b501e754058eaf515c16c85c4

Observation 464c0e1d-a653-4720-b489-704b7765d2e9 · outbound

This paper cites Manipulating the byzantine: Opti- mizing model poisoning attacks and defenses for federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Manipulating the byzantine: Opti- mizing model poisoning attacks and defenses for federated learning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.799181Z

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=2026-08-15T20:07:26.581571Z digest=sha256:c442d26a5b4ecbb24e98e4af4a4bd84d11c84e279e03e5c3a43e18dca2e3bf05

Observation 0871f782-3252-4d40-880f-25d5de8d397d · outbound

This paper cites A little is enough: Circum- venting defenses for distributed learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning A little is enough: Circum- venting defenses for distributed learning,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.788501Z

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=2026-08-15T20:07:26.585059Z digest=sha256:f2059759b0eebae9012472cce301f90a8fa2e985eca7fe6208322d52ff47c327

Observation 1b298788-71c9-4e6e-8ddd-0494586e8f03 · outbound

This paper cites Local model poisoning attacks to byzantine-robust federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Local model poisoning attacks to byzantine-robust federated learning,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.777707Z

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=2026-08-15T20:07:26.588499Z digest=sha256:dc075ee936c0e83247c199275bc9a3d1a748e883cb03cdcfe59eb2b4bca67212

Observation 8beb6863-ec72-418f-b12c-c09997d7b0d4 · outbound

This paper cites How to backdoor federated learning,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning How to backdoor federated learning,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:26.591975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:26.591975Z digest=sha256:5be364344857d48c65089f5b3cb35ee0f52278360364894573388dbf0577d2df

Observation f55728b1-d6b8-4b46-8789-30cf6ba74025 · outbound

This paper cites Private aggregation in wireless federated learning with heterogeneous clusters,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Private aggregation in wireless federated learning with heterogeneous clusters,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:07:26.759525Z

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=2026-08-15T20:07:26.595308Z digest=sha256:df5b54f0b16a3946bb8503e0b90f05ed5ab5a28290ee6c98ced0b7bed355544f

Observation e7bd7834-e17c-43d7-8462-0407da7ccddc · outbound

This paper cites Fundamental limits of hierarchical secure aggregation with cyclic user association,.

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning Fundamental limits of hierarchical secure aggregation with cyclic user association,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T20:07:26.598389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:26.598389Z digest=sha256:a0720ad3fe42156ed0c13a28d13e39e8abd423f8a71e940e62de02e710fafe84

Pith citing papers

No inbound Pith citation observations are available.