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Paper Citation Record · LEDGER

Perfect Privacy for Discriminator-Based Byzantine-Resilient Federated Learning

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.379160Z digest=sha256:668f459a0706a60ad42f2f2b2c7379fd05701ee3ee9433a137dfbce8a9716900

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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unresolved
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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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raw_fallback, observed 2026-08-15T20:07:27.275024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.386701Z digest=sha256:20a1e48752ae84740e9912b3d47370cf87094580945366ac96ace7595e3dba28

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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raw_fallback, observed 2026-08-15T20:07:27.265544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.390239Z digest=sha256:ce9cde9086294952db9163a122aa92aec6029c670a05749f9115d7a02d866275

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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raw_fallback, observed 2026-08-15T20:07:27.255463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.393997Z digest=sha256:bc2f128e6df6e084ae49382ded1a6e77015149cd44aca177b9ef7b28826789c7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.398019Z digest=sha256:c3ffd5f28d7b157821788a4a8ca93234494684b3be4461583d8a3a92bffa756e

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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raw_fallback, observed 2026-08-15T20:07:27.233811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.401557Z digest=sha256:9c01959accd248769fa5221c2f326a76acd8a3d07e6d87b9a616671790b1174b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.405111Z digest=sha256:7cfe9dd04ae1b6d5db97b46e73bd5507ba66bcd872640bf38db2203e5094f18e

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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raw_fallback, observed 2026-08-15T20:07:27.214047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.408545Z digest=sha256:e8c8f2d61bd84212e75d307a5a20b82cf870bfe2cac9ee504dd6bf88ba52366d

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.411918Z digest=sha256:fb3e39cc86a2a4322bc653c7de9c8412d9c50ab8fb6eae5483bd2a83e608c9c5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.416525Z digest=sha256:f47a8645b9ead26011e8a6b32f1adbfda86b4b59b7fd3244057071fea3c4ee1e

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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raw_fallback, observed 2026-08-15T20:07:27.183029Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.420382Z digest=sha256:a449de8ad3ee5d75e790ce0a936928885fba403cb18af47c5596ba98ea0df679

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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raw_fallback, observed 2026-08-15T20:07:27.172291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.424316Z digest=sha256:47c687558e5ea28b9c4846dc4d815777141615a1f321cf16d00dc037997ae13a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.427804Z digest=sha256:df96bea2267d7fc8b1f63412319824f2b48bf33eb5b957269d3574b09e8cc6b9

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.431365Z digest=sha256:4815c5b05df11aa5b9fd93ea320715ee28d1ff5fd10457063920f47a9cf362b1

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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.435355Z digest=sha256:a768da87f3cd4911cf9cee3201ae5370e2f6e2688456f7701eb43c7e5f317d25

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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no resolver link, observed 2026-08-15T20:07:26.438891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:07:26.438891Z digest=sha256:e80a7859d917c53bdba3554eef5c90b2a4e7d31058de7203cbcfa4623b478e3f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.443069Z digest=sha256:27f1e4541f937255e5010ac4ebd97d4c20feb878aa5b8a2872d945d67bc2296f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.447123Z digest=sha256:d6e766e02298d338edee28475008e4e3693cedebb2d243d631aa6ccc04a30bfb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.450680Z digest=sha256:24a8c07a386306aa868b75ade30899b17e9312fde4221af80ffb331bc0fc032b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.454169Z digest=sha256:dc8ad30add83547d13d143f7dd57f0275aadfffeb3a8b9a5ded4c6305fabf37b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.457810Z digest=sha256:dfb326fce40444c1e88ba2176adc7ffb6a5d4f1ea984c27efa912f558c895b85

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.461450Z digest=sha256:65bad680bdd001e33f0f1af436a45789b39af450c328bb830cb1e8b6258ba23b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.464868Z digest=sha256:0f59729b4060f73fe4d0864a9f7c4081859ad3281d250831ad66addcfddb0daf

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.468337Z digest=sha256:d297240d501ba90bfede9c079db7861ab377f6bb6b244e34364cf4f11a2a3870

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

Resolution
verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.471878Z digest=sha256:bbead44727f4d58767a6731d654501944defcbcb6ccaa4fca41748639eadcf8c

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.475809Z digest=sha256:6d67643e1d66141381ce4577021788c81d25c1d8ca0689e7c7c6955f06f0a4e4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.479293Z digest=sha256:b943472725ccb0c561861fe5263c02aa87dd508ef2fba82c258ba5af1ae1fe8d

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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.482460Z digest=sha256:46fd1ba8c597408f47c2189b35233eb726d326ecdfb34eaf87196c3bc363b618

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.485888Z digest=sha256:a27223c32561dc80036cce2acf001d797b7d6868d3540b1ba9734e478d6a51dd

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.489147Z digest=sha256:31e98e2f953eeea818805e8e83682f4ec2cfbd392159e94f2bf40507c3a0d769

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.492492Z digest=sha256:0712cecd450e29f5b7015ffa84c555971240b8079383e1c5cea5e39ff94a13fb

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

Resolution
verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.495901Z digest=sha256:4bcb3b6dd9f55e051aaaa165fbce57ca72df8804c189788f561b69973b134350

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.499470Z digest=sha256:5c2f486be4245f366e5a7b7c1967e44da2fc7332bcab4709a5c60b2bfd0c4da1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.503209Z digest=sha256:9e4f51b72302e9985c82166eaee1bd32eab48a7a5b2cb8ce28ed2d3ba56b9658

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.506588Z digest=sha256:5ff608e63306317cc810995a19594aca55846337ac1b9f5446b8f67b076494ed

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.509900Z digest=sha256:5eff6bc7b98545d6a4fb603f522f343d1620fe7d96badcad27443f15f89b0ec1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.513616Z digest=sha256:0b33431cd55847afc821332a9a47a6d387bb996896844c8a17c45630f1e8f663

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.521151Z digest=sha256:a8963e81ebc50cd624b72bd5e5761b25d6e092c7f9d9f2a025ef9ae654a60e80

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.524604Z digest=sha256:e5f58962539bca93ca2c17ba07fdc170facc45171a6f9cbad271ee1948295fbb

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:e4ff2922b234526e1e264107d0802cdfe523df390a33d30095673c7e55c4fc10

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.532229Z digest=sha256:efcc6810d6a9f4da9e25fdd3520202a6551f32f83c4c2ac41683b45483e4941b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.538892Z digest=sha256:49e23a9387c5760dbba3b666f620b3944677ecf449a8ce58e0711363b39a8cef

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.542634Z digest=sha256:6d35bb8da354ed6a305760a5af619d4d51e9114b92dae3c4cee1b3fae9d16f40

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.546488Z digest=sha256:06d6ac5b2f821fff1752a3f9efb2af0ee4f0cd831d14ef13778a1a43ff3cab2c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.550032Z digest=sha256:420a9b62e1220b3b8ae2064a13b18b7efcf0f7108fc9415d4b13a898c36b9072

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.553368Z digest=sha256:4554c3b4730767860f87c627ea64fb5105387db09cb35bcc287f5112f8f97d14

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.558005Z digest=sha256:8010e53d5c62faa333404c9a5c41ee88f82e652fb2d9f281ed0ce781876209f5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.561788Z digest=sha256:528a4c1ceae3bacf9740f9a708036eb4ab5f16ff0d4469f279b651f9f166fed2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.566403Z digest=sha256:30a12d6dcb3aae76a29fb6f8d57c9c9191eb51e0e59758d23d32d86659cb3752

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.570162Z digest=sha256:d95e897e527cca0d6dadf2462d94bd05fda4e05af3a692173b8cb45823a97708

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.577745Z digest=sha256:99a1add2b3c3768f9ccc7f3ec8a1f31966ae02505f166f37a0ca71785eb0c7fd

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.581571Z digest=sha256:39e436ec9fb11b6f00c63c9a941c2076144857651bb963fd97b1acffb395d987

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.585059Z digest=sha256:6568cfd8149c2184df522ab2701b4fbbc56d07e8f75d9b1401e33571725c283e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.588499Z digest=sha256:d05c3da843c70c50e6b363f7cb55f82cc308f42bb21df9284ef0a87ce21624d5

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:07:26.595308Z digest=sha256:05d86703c2a4e749b10f429058d222af624128e9bcddeedf968c059dfde8d67d

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.