Paper Citation Record · LEDGER

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning

As of 23 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.09259.

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

pith.paper-citation-record.v1
2412.09259 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:12:18.951722Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 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

39 of 39 outbound references displayed

verified exact1
verified fuzzy31
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation acad984f-fda3-4a18-97a7-26aa5fefec06 · outbound

This paper cites Inner-product functionalencryptionwithfine-grainedaccesscontrol,in:Moriai,S., Wang,H.(Eds.),ASIACRYPT2020,SpringerInternationalPublish- ing, Daejeon, Korea.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Inner-product functionalencryptionwithfine-grainedaccesscontrol,in:Moriai,S., Wang,H.(Eds.),ASIACRYPT2020,SpringerInternationalPublish- ing, Daejeon, Korea

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:20.018567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8825337b-3ca8-4841-a8fb-997802423b25 · outbound

This paper cites Multi-party functional encryption, in: Nissim, K., Waters, B.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Multi-party functional encryption, in: Nissim, K., Waters, B

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.992193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9dbf470b-5bca-48cb-90bc-0e8460f0aad5 · outbound

This paper cites Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T17:12:18.703911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9c60118-507b-4a52-ba67-5a916ca89206 · outbound

This paper cites How to backdoor federated learning, in: Chiappa, S., Calandra, R.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning How to backdoor federated learning, in: Chiappa, S., Calandra, R

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.967190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f2b4bcc-52e1-4e6e-8339-658e6933ead6 · outbound

This paper cites Identity-based encryption from the weil pairing.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Identity-based encryption from the weil pairing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.948310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8859e39f-8184-4cde-83cb-4c43ffcb1304 · outbound

This paper cites Functional encryption: Definitions and challenges, in: Ishai, Y.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Functional encryption: Definitions and challenges, in: Ishai, Y

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.927280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 711b9f5a-8c88-4b09-b572-b277ff9a62c4 · outbound

This paper cites Privacy-preserving federated learning via functional encryption, revisited.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Privacy-preserving federated learning via functional encryption, revisited

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.907114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8789df5-195a-455c-9643-cf651c409923 · outbound

This paper cites Secure and efficient federated learning via novel multi-party computation and compressed sensing.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Secure and efficient federated learning via novel multi-party computation and compressed sensing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T17:12:18.736293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaf677c3-5507-49f0-abe1-fd41e697f833 · outbound

This paper cites an unresolved cited work.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:12:19.889907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation beed8db7-ea8a-4ffb-a260-cd00b8158e3e · outbound

This paper cites Decentralizedmulti-authorityattribute-based inner-product fe: Large universe and unbounded, in: Boldyreva, A., Kolesnikov,V.(Eds.),PKC2023,Springer,Cham,Atlanta,GA,USA.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Decentralizedmulti-authorityattribute-based inner-product fe: Large universe and unbounded, in: Boldyreva, A., Kolesnikov,V.(Eds.),PKC2023,Springer,Cham,Atlanta,GA,USA

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.854956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d6e8e33a-af58-49d1-a9f7-654ec437a296 · outbound

This paper cites jpbc:Javapairingbasedcryptography, in: ISCC 2011, Kerkyra, Greece.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning jpbc:Javapairingbasedcryptography, in: ISCC 2011, Kerkyra, Greece

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.832966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da51751e-7dba-4547-872f-05c675a91145 · outbound

This paper cites Sacfe: Secure access control in functional encryption with unbounded data, in: EuroS&P 2024, IEEE, Vienna, Austria.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Sacfe: Secure access control in functional encryption with unbounded data, in: EuroS&P 2024, IEEE, Vienna, Austria

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.810010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3647aef4-281c-4077-bf0d-257c043280f1 · outbound

This paper cites Privacypreserving federated learning from multi-input functional proxy re-encryption, in: ICASSP 2024, IEEE, Seoul, Korea.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Privacypreserving federated learning from multi-input functional proxy re-encryption, in: ICASSP 2024, IEEE, Seoul, Korea

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.790938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9054cc42-398b-4f14-b905-d3c9a3e4db53 · outbound

This paper cites Multi-input functional encryption,in:Nguyen,P.Q.,Oswald,E.(Eds.),EUROCRYPT2014, Springer Berlin Heidelberg, Berlin, Heidelberg.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Multi-input functional encryption,in:Nguyen,P.Q.,Oswald,E.(Eds.),EUROCRYPT2014, Springer Berlin Heidelberg, Berlin, Heidelberg

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.771274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0027abff-3f23-4c3d-8ab8-9003b308a951 · outbound

This paper cites Amulti-modalverticalfederatedlearningframeworkbased on homomorphic encryption.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Amulti-modalverticalfederatedlearningframeworkbased on homomorphic encryption

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.754169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d9c8aca1-8d00-44b5-814c-e0b1e96176d2 · outbound

This paper cites Attribute-based encryption for fine-grained access control of encrypted data, in: CCS 2006, Association for Computing Machinery, New York, NY, USA.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Attribute-based encryption for fine-grained access control of encrypted data, in: CCS 2006, Association for Computing Machinery, New York, NY, USA

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.576348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 10390735-0fd9-43f8-b7b9-4c0e653616c5 · outbound

This paper cites Differentially private set intersection for asymmetrical id alignment.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Differentially private set intersection for asymmetrical id alignment

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.555737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 210b0f95-f7ac-4680-a2c5-27acec5a0b40 · outbound

This paper cites Advances and open problems in federated learning.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Advances and open problems in federated learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.528280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06d85636-98e7-4ff6-abe7-a9b6ccb049d7 · outbound

This paper cites Two- client and multi-client functional encryption for set intersection, in: Jang-Jaccard, J., Guo, F.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Two- client and multi-client functional encryption for set intersection, in: Jang-Jaccard, J., Guo, F

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.503614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7975f4d-e98b-4913-9c2b-386124ef6f69 · outbound

This paper cites Decentralized multi-client functional encryption for set intersection with improved efficiency.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Decentralized multi-client functional encryption for set intersection with improved efficiency

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.480227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 939d1309-1fc4-4733-95ac-476d51158bb9 · outbound

This paper cites Functional encryption for set intersection in themulti-clientsetting.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Functional encryption for set intersection in themulti-clientsetting

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.454160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3acf0285-c2f7-4eda-83a4-2787ddedcb4a · outbound

This paper cites CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:12:19.040341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 094ebb06-2b55-4861-9e4b-3c025659dbd7 · outbound

This paper cites A survey on federated learning: a perspective from multi-party computation.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning A survey on federated learning: a perspective from multi-party computation

Reference 23

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T17:12:19.434080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 716ffe76-b6ba-4cda-9524-876fab5d1069 · outbound

This paper cites Efficient sample alignment with fast polynomial interpolation for vertical federated learning,in:GLOBECOM2023,KualaLumpur,Malaysia.pp.2596– 2601.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Efficient sample alignment with fast polynomial interpolation for vertical federated learning,in:GLOBECOM2023,KualaLumpur,Malaysia.pp.2596– 2601

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.417125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5602cf16-d413-4e96-8ea6-61cd12b20750 · outbound

This paper cites Multi-partyprivatesetintersectioninvertical federated learning, in: TrustCom 2020, Guangzhou, China.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Multi-partyprivatesetintersectioninvertical federated learning, in: TrustCom 2020, Guangzhou, China

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.395733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c89b70f-ddcc-4e69-93d1-103a868bc102 · outbound

This paper cites Verifiable de- centralized multi-client functional encryption for inner product, in: Guo,J.,Steinfeld,R.(Eds.),ASIACRYPT2023,Springer,Singapore, Guangzhou, China.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Verifiable de- centralized multi-client functional encryption for inner product, in: Guo,J.,Steinfeld,R.(Eds.),ASIACRYPT2023,Springer,Singapore, Guangzhou, China

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.376929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b50164f-2d78-4439-ae81-af966d407ed0 · outbound

This paper cites Multi-client func- tional encryption with fine-grained access control, in: Agrawal, S., Lin, D.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Multi-client func- tional encryption with fine-grained access control, in: Agrawal, S., Lin, D

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.359738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3dc1ace7-0dc5-4177-8037-3db4aa2f2c36 · outbound

This paper cites Definitional issues in functional encryption.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Definitional issues in functional encryption

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.340304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cec452be-7b8f-4dbc-8e6f-b077ab01c35f · outbound

This paper cites De- centralized multi-client functional encryption for inner product with applicationstofederatedlearning.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning De- centralized multi-client functional encryption for inner product with applicationstofederatedlearning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.319322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff7ee22c-b432-4fdd-84f2-481bb802ee81 · outbound

This paper cites Cryptofe: Practical and privacy-preserving federated learning via functional encryption, in: GLOBECOM 2022, IEEE, Rio de Janeiro, Brazil.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Cryptofe: Practical and privacy-preserving federated learning via functional encryption, in: GLOBECOM 2022, IEEE, Rio de Janeiro, Brazil

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.300691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db308970-e5ef-46ec-aa85-8991af6e4507 · outbound

This paper cites Flexible multi-client functional encryption for set intersection.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Flexible multi-client functional encryption for set intersection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.278247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf1982a9-9a53-482f-9ca1-1614567538e3 · outbound

This paper cites Functional encryption: beyond public key cryptography.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Functional encryption: beyond public key cryptography

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.259435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0986e57a-bb6a-4c07-83c5-c6a103a3fa79 · outbound

This paper cites Multi-client inner product encryption: Function-hidinginstantiationswithoutrandomoracles,in:Boldyreva, A., Kolesnikov, V.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Multi-client inner product encryption: Function-hidinginstantiationswithoutrandomoracles,in:Boldyreva, A., Kolesnikov, V

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.239840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f0e2426-226b-4162-85ca-caa06b5996f0 · outbound

This paper cites Hierarchical identity-based inner product functional encryption.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Hierarchical identity-based inner product functional encryption

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.221422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf86e552-a6b2-4a1e-a588-da533aead1ef · outbound

This paper cites an unresolved cited work.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:12:19.200804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a2ce5dd6-4397-48fb-af9b-dddb36751ef7 · outbound

This paper cites Federated machine learning:Conceptandapplications.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Federated machine learning:Conceptandapplications

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T17:12:18.945787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b013a1dc-6d4c-49b4-8061-7a4b61bf092b · outbound

This paper cites BatchCrypt: Efficient homomorphic encryption for Cross-Silo fed- erated learning, in: USENIX ATC 2020, USENIX Association, CA,USA.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning BatchCrypt: Efficient homomorphic encryption for Cross-Silo fed- erated learning, in: USENIX ATC 2020, USENIX Association, CA,USA

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.163601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8070ac1-924a-493f-a1a7-4b4dec31ddfb · outbound

This paper cites (Eds.), ASIACRYPT 2018, Springer International Publishing, Cham.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning (Eds.), ASIACRYPT 2018, Springer International Publishing, Cham

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:12:19.872639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dda914f9-c30b-4058-be1b-5dd371ec7e48 · outbound

This paper cites an unresolved cited work.

Multi-client Functional Encryption for Set Intersection with Non-monotonic Access Structures in Federated Learning Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:12:19.181009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.