TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning | Paper Citation Record

Observation 3bac8a7b-6b05-4aea-ae4b-6a557d7c61c1 · outbound

This paper cites Federated learning: Strategies for improving com- munication efficiency,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Federated learning: Strategies for improving com- munication efficiency,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.324115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 963b0dcb-3b97-4d7b-bcda-c2163ebdfdb1 · outbound

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

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:42.594570Z

Source-reported events for the cited work

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Observation 84b1a46f-bdcd-4ac9-89d7-60d1725f4bd1 · outbound

This paper cites Member- ship inference attacks against machine learning models,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Member- ship inference attacks against machine learning models,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.307554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab14ab53-652b-431d-991c-caeb1db11c59 · outbound

This paper cites Comprehensive privacy analysis of deep learning: Stand-alone and federated learning under passive and active white-box inference attacks,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Comprehensive privacy analysis of deep learning: Stand-alone and federated learning under passive and active white-box inference attacks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.297779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a0dc9b3-cdf9-436d-af01-08a2e755c14e · outbound

This paper cites The secret sharer: Evaluating and testing unintended memorization in neural networks,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning The secret sharer: Evaluating and testing unintended memorization in neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.287543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b8fa0468-37f5-4be2-8841-463346d28252 · outbound

This paper cites Property inference attacks on fully connected neural networks using permutation invariant representations,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Property inference attacks on fully connected neural networks using permutation invariant representations,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.275671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 19c0dd1c-b802-4ed7-9a81-ddd3043685f5 · outbound

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

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Inverting gradients-how easy is it to break privacy in federated learning?

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.265107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 82a1396a-c693-467b-8b87-6b3245d9f7c9 · outbound

This paper cites Deep leakage from gradients,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Deep leakage from gradients,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.254731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7568e598-f307-4579-b650-341287811936 · outbound

This paper cites Cafe: Catastrophic data leakage in federated learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Cafe: Catastrophic data leakage in federated learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.244380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 44f1a7ee-183d-4031-9552-9c2ca95fb99e · outbound

This paper cites Hy- bridalpha: An efficient approach for privacy-preserving federated learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Hy- bridalpha: An efficient approach for privacy-preserving federated learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.233713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5010b271-a5f1-4647-acf8-aced55d06533 · outbound

This paper cites A hybrid approach to privacy-preserving federated learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning A hybrid approach to privacy-preserving federated learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.223155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d869d31e-5f65-4d7d-a257-12fdcc3e84b5 · outbound

This paper cites Fedv: Privacy-preserving federated learning over vertically par- titioned data,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Fedv: Privacy-preserving federated learning over vertically par- titioned data,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.212797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7df55ad4-7c4f-4f13-ae39-57166c56bc27 · outbound

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

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Practical secure aggregation for privacy-preserving machine learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.202899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8963c5ff-160d-4a08-8267-541298fb37cd · outbound

This paper cites Fastsecagg: Scalable secure aggregation for privacy-preserving federated learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Fastsecagg: Scalable secure aggregation for privacy-preserving federated learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.192644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 66724739-f3ce-4d3a-b773-f25f1a5a6b81 · outbound

This paper cites Turbo-aggregate: Breaking the quadratic aggregation barrier in secure federated learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Turbo-aggregate: Breaking the quadratic aggregation barrier in secure federated learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.182707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd953c61-75a9-47a6-9c5e-ba2784837ec9 · outbound

This paper cites Differentially private federated learn- ing: An information-theoretic perspective,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Differentially private federated learn- ing: An information-theoretic perspective,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.172466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 74f930fb-8802-4e88-a965-6b975bbf0517 · outbound

This paper cites Batchcrypt: Ef- ficient homomorphic encryption for cross-silo federated learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Batchcrypt: Ef- ficient homomorphic encryption for cross-silo federated learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.162506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 75909a8d-caa7-425c-8907-0412a01eba0c · outbound

This paper cites Detrust-fl: Privacy-preserving federated learning in decentral- ized trust setting,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Detrust-fl: Privacy-preserving federated learning in decentral- ized trust setting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.153138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 22ecdc98-56ab-497e-a113-814390b9798f · outbound

This paper cites Protecting against data leakage in fed- erated learning: What approach should you choose?.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Protecting against data leakage in fed- erated learning: What approach should you choose?

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.143904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ad8f12db-d41e-492a-870e-8774a710c129 · outbound

This paper cites Differentially Private Federated Learning: A Client Level Perspective.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Differentially Private Federated Learning: A Client Level Perspective

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:25:42.661262Z

Source-reported events for the cited work

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Observation dfd3ea68-0a3e-402b-9fb7-e977e622ffbf · outbound

This paper cites Elsa: Secure aggregation for federated learning with malicious actors,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Elsa: Secure aggregation for federated learning with malicious actors,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.133406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b42b19b-36fc-47db-bf48-0c56ce68d2e1 · outbound

This paper cites Federated learning with homomorphic encryption,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Federated learning with homomorphic encryption,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.123092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e6b8b741-af10-41fa-a846-7ec1090704ac · outbound

This paper cites Secure single-server aggregation with (poly) logarithmic over- head,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Secure single-server aggregation with (poly) logarithmic over- head,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.101723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 16cf845c-9d63-40d6-982b-411347dde7cf · outbound

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

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Eiffel: Ensuring integrity for federated learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.091346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fdd3215a-20c5-4dc9-9a85-6b9dac4fb80d · outbound

This paper cites Flamingo: Multi-round single-server secure aggregation with applications to private federated learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Flamingo: Multi-round single-server secure aggregation with applications to private federated learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.080807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2beaf83-dc02-427d-9c71-9c363ee82d38 · outbound

This paper cites {ACORN}: Input validation for secure aggregation,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning {ACORN}: Input validation for secure aggregation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.069234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fce5e0db-a18b-4d4d-8670-8acb83b15fdd · outbound

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

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Rofl: Robustness of secure federated learning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.058294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7709476d-4809-4661-8d79-583cf27a0f5e · outbound

This paper cites Aggregation service for federated learning: An efficient, secure, and more resilient realization,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Aggregation service for federated learning: An efficient, secure, and more resilient realization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.048286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c72c597f-e597-4f03-b8fc-a253466a4f9e · outbound

This paper cites Efficient dropout-resilient aggregation for privacy-preserving machine learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Efficient dropout-resilient aggregation for privacy-preserving machine learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.038940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ae082d25-7561-4ebd-a00d-60ceeceb7d77 · outbound

This paper cites Ef- ficient verifiable protocol for privacy-preserving aggregation in federated learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Ef- ficient verifiable protocol for privacy-preserving aggregation in federated learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.028298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8ecce1b2-efa3-4df8-a67e-2ff2858ee0b8 · outbound

This paper cites Separation of powers in federated learning (poster paper),.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Separation of powers in federated learning (poster paper),

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.016860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 216a5a63-a93e-4775-b27b-13a1fdcb8f0e · outbound

This paper cites Shufflefl: gradient-preserving federated learning using trusted execution environment,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Shufflefl: gradient-preserving federated learning using trusted execution environment,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.005595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f52b75d5-baaa-4413-a93c-14f8e1997c83 · outbound

This paper cites Secure collaborative learning in mining pool via robust and efficient verification,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Secure collaborative learning in mining pool via robust and efficient verification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.994058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation de23fb1d-9774-44bb-ba8e-62597aa4a501 · outbound

This paper cites A taxonomy of attacks on federated learning,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning A taxonomy of attacks on federated learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.983083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 54e5e1af-db71-49d7-aaf4-6d53231ab710 · outbound

This paper cites Secure two-party computation is practical,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Secure two-party computation is practical,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.971737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e09afdb2-4104-4427-b4a8-e483bd9180d8 · outbound

This paper cites Fast and secure three- party computation: The garbled circuit approach,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Fast and secure three- party computation: The garbled circuit approach,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.960626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 01949571-7787-4897-84f2-42fcccb8a160 · outbound

This paper cites Global-scale secure multi- party computation,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Global-scale secure multi- party computation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.950132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 76e1b290-f884-40d9-96fd-59149456b610 · outbound

This paper cites Untraceable electronic mail, return addresses, and digital pseudonyms,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Untraceable electronic mail, return addresses, and digital pseudonyms,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.939877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a37090f5-4367-4e0b-af1e-988a54682b63 · outbound

This paper cites The dining cryptographers problem: Unconditional sender and recipient untraceability,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning The dining cryptographers problem: Unconditional sender and recipient untraceability,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.928740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 51ec129e-c4ce-45d1-a8a4-8d1ed33d1fd2 · outbound

This paper cites Partially encrypted deep learning using functional encryption,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Partially encrypted deep learning using functional encryption,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.916604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ce77028e-8a97-4019-92af-28a58906ff4f · outbound

This paper cites Federated learning with differential pri- vacy: Algorithms and performance analysis,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Federated learning with differential pri- vacy: Algorithms and performance analysis,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.904633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 21554d2f-b461-49c8-9494-477d66497632 · outbound

This paper cites Revisiting secure computation using functional encryption: Opportunities and research directions,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Revisiting secure computation using functional encryption: Opportunities and research directions,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.893277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e7b4d25-79c8-46a7-9fbb-9dcc2db4c629 · outbound

This paper cites Multi- input functional encryption for inner products: function-hiding realizations and constructions without pairings,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Multi- input functional encryption for inner products: function-hiding realizations and constructions without pairings,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.882627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 16e02d54-86fd-4084-a375-ca72716f86ba · outbound

This paper cites Decentralized multi-client functional encryption for inner prod- uct,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Decentralized multi-client functional encryption for inner prod- uct,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.871094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b60e0b3d-271a-4820-a568-ef6c5c9cb60d · outbound

This paper cites From single-input to multi-client inner-product functional encryption,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning From single-input to multi-client inner-product functional encryption,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.859155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3bf94ce2-e732-47b0-9342-130932e6363a · outbound

This paper cites Cryptonn:training neural networks over encrypted data,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Cryptonn:training neural networks over encrypted data,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.848772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4dafbdd1-fb42-4e20-9bd6-9819a733925f · outbound

This paper cites Nn-emd: Efficiently training neural networks using en- crypted multi-sourced datasets,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Nn-emd: Efficiently training neural networks using en- crypted multi-sourced datasets,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.838620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3c47c738-e0c8-4527-885f-6d284674ca64 · outbound

This paper cites Functional encryption: Defini- tions and challenges,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Functional encryption: Defini- tions and challenges,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.827334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a88d5bbb-5e7b-4266-8eeb-75be3ebb957b · outbound

This paper cites How to share a secret,.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning How to share a secret,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:42.814168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 89e646ba-25c1-412e-ab48-c8ca8068cea2 · outbound

This paper cites Available: https://developer.nvidia.com/blog/ federated-learning-with-homomorphic-encryption/.

TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Available: https://developer.nvidia.com/blog/ federated-learning-with-homomorphic-encryption/

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:25:43.111989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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