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Paper Citation Record · LEDGER

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning

As of 14 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2607.07565.

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

pith.paper-citation-record.v1
2607.07565 v1

Coverage vector

measured 89 of 89 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T07:01:36.452085Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

89 of 89 outbound references displayed

  • verified exact5
  • verified fuzzy75
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch9

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b7833bd-4608-4a6b-99b0-8e056c63d40f · outbound

This paper cites Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) , pages=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.210602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:44413d266dda47073bc3cef17509f6b7af0366d36d261c14c5287504d86d8e90

Observation 9f7cb04c-5b54-48dd-99c1-6a58d78c6149 · outbound

This paper cites Federated Learning with Non-IID Data.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Federated Learning with Non-IID Data

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T07:06:02.899287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:e94d636a63cb059d04ec2acf4b2633933dd336fa5da11485295610dc1e2325a1

Observation 07b631c7-0b50-42e2-b68c-1da85a5acd37 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.319787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:2a5dc1114d65b8176fa3840cb37cf7086f86a47aa85a01c9fda088df5e557f2b

Observation a6e02bb5-b895-497e-91d7-bf8e17d19afb · outbound

This paper cites Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach , url =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach , url =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.368805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:8a0081c3f9d0443314fb45124b46f78b690f337cc0a0ef4010253121e636aaa3

Observation aeec00c7-c288-4579-a445-535282c2c868 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Advances in Neural Information Processing Systems (NeurIPS) , volume=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.358675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:80e1d43f1c4b94756de8e4cbb37e7acda12b120eccfdeb895d91347870e9609e

Observation 8c560075-563a-4410-aee7-775c449cca17 · outbound

This paper cites International Conference on Learning Representations , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning International Conference on Learning Representations , year=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.349671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:3237f491a5f5daecf981d50d210a22631ca08246d6c8b4beb4095d35b4825062

Observation 5634ffd7-8266-43ce-8534-1e8dcdb66014 · outbound

This paper cites FedPHP: Federated Personalization with Inherited Private Models.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning FedPHP: Federated Personalization with Inherited Private Models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.313711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:0422333d4e2a01f8f05aa0dd16278e452378d5d7c42afb1866aaf96ae65e6e3a

Observation 1d2a0fc0-ad23-48fc-bac7-fd990eff57d0 · outbound

This paper cites PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization , url =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization , url =

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.343059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:2041a3d51aa11d8088411f3fd3b0a2ebd58213eded8f885ea3946bd1887a131c

Observation abfbe061-7893-42cc-8116-a334d7a32412 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 9

Resolution
verified exact
doi, observed 2026-07-09T07:06:02.867905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:11445712a1cb1709154514871563fff8288c2d8ceb779a4ad02b1085fd3f2503

Observation 209ef833-448f-4e8f-a5ff-8b7ff58d5314 · outbound

This paper cites IJCAI: proceedings of the conference , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning IJCAI: proceedings of the conference , volume=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.386368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:978d19fd854f99dec4ace2aa11601766c8d231bf57642da047eace66e42c708c

Observation 1651cca7-65c8-4e81-b3e2-34398d51bcc9 · outbound

This paper cites AAAI Conference on Artificial Intelligence , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning AAAI Conference on Artificial Intelligence , year=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.256090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:8f6c326eef970a530087d653dd64278634738fc34c27a57f852b88363b7a671b

Observation 2249eb1c-84c7-4041-9403-c5ad3d23eb39 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.321620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:ff27c8501f7ce399e1cbcc74d8fa55cc8dd153f730275ca8ecffb77bd578539d

Observation bed1ee3d-6faf-459c-b5d2-84701bbac71e · outbound

This paper cites Proceedings of the 35th International Conference on Neural Information Processing Systems , articleno =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 35th International Conference on Neural Information Processing Systems , articleno =

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.246255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:143d464f8d165bcf72e2384c1810c54bdda2f845ec75df439d66fec24e088bcd

Observation bb068c09-fadc-4657-af76-14af90b21869 · outbound

This paper cites Advances in neural information processing systems , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Advances in neural information processing systems , volume=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.279184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:286c66cda036d09b180bd313d3ac3ea9e1e5ede67408364837b7ccd38efd6471

Observation 1b6e2ad7-21c6-4c69-8544-a55d85a6e00f · outbound

This paper cites Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.310577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:57cb2501e0a3d5798514a70972ae637a5b5e5a6a355e89fa9059709cbfb1f165

Observation d9d1556f-037c-47ba-a0c5-2a01472a585e · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the AAAI Conference on Artificial Intelligence , year=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.301238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:c290220dcbfa42a1989892b97f49d36298334bed92189849424374c3881c8261

Observation b46d0228-51a2-426d-916f-61354efd2f5b · outbound

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

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Differentially Private Federated Learning: A Client Level Perspective

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T07:06:02.905449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:e145e2c78ee5a4807dc15fd23456e4f7cb6d3119b8150be7995da50623efd99a

Observation d3fff6a9-ae29-485c-b0e4-a53e3ac4a71c · outbound

This paper cites 2021 IEEE 37th International Conference on Data Engineering (ICDE) , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning 2021 IEEE 37th International Conference on Data Engineering (ICDE) , pages=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.290733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:488e6a27e4ccddaf299733925dd54430a89c9c854ad06dadab9c1ac47657ac99

Observation cf5bec5d-929e-4e16-9b84-6d4b1c353b52 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.282307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:db0c252f3855dc1d8d0398ae27211b08e1297391a2beeeab14d0befaf9724b94

Observation e6318293-1c87-4c27-83db-f2bcce1a05ff · outbound

This paper cites FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.275152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:17bdc953c4dfc98ef79cd58891bcfc3587e3f9ccc200bbae3727e1db74b59c0f

Observation fcad8b21-7ab0-4aac-892e-3f3f7ac38bb6 · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , pages =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 38th International Conference on Machine Learning , pages =

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.271160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:c2fd8b8655ba45daa1c524a95e60d44e7b6e9f4784e9e1b2fadfdc8c2734f7cb

Observation 13c6a2fc-7bcd-4576-be45-08a74fb93056 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning , pages =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 35th International Conference on Machine Learning , pages =

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.266180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:d917cf3c01e764d6895305ac0822d8420a31077ec47d0d90f6970a2411adb3d8

Observation c51043ea-add8-4751-a572-698a3fb2c0ba · outbound

This paper cites 2006 , isbn =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning 2006 , isbn =

Reference 23

Resolution
metadata mismatch
doi, observed 2026-07-09T07:06:02.860333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:a312ac6cd1ab74a95e813c10a1b147c3fbea29bf12f78bac162e6d38887beb37

Observation 0a182717-23be-4e92-b3bb-6e646ae089c7 · outbound

This paper cites 2009 , publisher=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning 2009 , publisher=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.253470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:df26b715fb8292a5085d6d66665c1b7bf2971a596180b6d956f02c19ee9eb6fe

Observation 830bdc45-e1bb-40c5-88db-f883aeae53ea · outbound

This paper cites IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , year=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.383248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:03bb637f80e9ece4ae4051e1ca332007826bcc57a3fa12a318c06fb7c65d4fae

Observation 55508ac5-51bc-4826-9062-32dcb446650b · outbound

This paper cites International Conference on Advances in Neural Information Processing Systems (NeurIPS) , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning International Conference on Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.247988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:9ee55ba22d215b1ed0ffc9da07b72bf51b7037383f7f949b0aac15f923bf90f8

Observation 50f641bb-6c4c-4cfb-9c95-453ddaae60a4 · outbound

This paper cites Journal of Machine Learning Research , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Journal of Machine Learning Research , year=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.275904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:9fee0db212a866b075ac840b42b05dbf2e3aad938e349bac1b06ab38e06d758d

Observation 1aa1c726-c2b2-4ed4-b648-3e7876078662 · outbound

This paper cites Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.279720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:3822329719f16293949de3df4ae7d24a373fc94893fb38cf5889a7ed4272e7a8

Observation f4096274-83cd-4400-b25c-f7ff267e07f2 · outbound

This paper cites 2017 , eprint=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning 2017 , eprint=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.255629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:7c39559be5eaa23b40c071d5295c6480a95d52eb563cfe2c0fcf7d0366919e0f

Observation dee8acda-bfdf-4e23-b102-fa36952f9e2e · outbound

This paper cites 2023 , eprint=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning 2023 , eprint=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.317423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:0851cb79228605b7d8a7ac6d770c17ce3a52f818fdc3eef3fd7bf62d8e67f78f

Observation b0528e3b-6106-47b6-acde-66112dd3b7e3 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning International Conference on Artificial Intelligence and Statistics , pages=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.332114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:ed4116b0a3956c9416013c659e0cc25ecaaf384aa98bbe7e24215b4dd5a8bc7d

Observation 9d073155-419e-4883-821b-e560f6754f56 · outbound

This paper cites Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.327225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:eea97809ccef68fb2321e35b7718034644b0a08d6770cfc043ddcbd65cbd8c1a

Observation d4fb5872-c462-4531-8004-f24f5318b5ed · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.352403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:632a1b427a72a8734e824063e27a9944ab07b1bef81c41dc1dadc7adca8b527e

Observation d04d9b41-b01c-4c2c-981c-82e08f518fd1 · outbound

This paper cites Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security , pages =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security , pages =

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.307709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:c25505ac5aa3e8a0ba2934284c4981efbf22ba51dbea35c71704d4c2170382e5

Observation b2f5b030-eb4d-45b4-bd2e-e9e371a18b13 · outbound

This paper cites Journal of Machine Learning Research , volume =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Journal of Machine Learning Research , volume =

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.355836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:07534f53db660c839cf33770cfd7d257b7c973c5d5f451418f432ad0a024727d

Observation 8fe29705-f41e-4879-a7ff-2fac0599fc8f · outbound

This paper cites Machine learning , volume =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Machine learning , volume =

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.238584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:2e8d9f44bfc47ee8994621e9d6f452856433b8875dcd30fafd91c4df5a14e1b9

Observation a299276e-748a-4f2f-b32b-ea82fc721322 · outbound

This paper cites 2014.The Algorithmic Foundations of Differential Privacy.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning 2014.The Algorithmic Foundations of Differential Privacy

Reference 37

Resolution
verified exact
doi, observed 2026-07-09T07:06:02.864764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:9f56601215207c3e31e353c6d8a18ae2841769fa63994dd0d2ca0a4cf54daaea

Observation 0a578b05-9706-47af-a6e7-58febf9d0a59 · outbound

This paper cites Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence , pages =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence , pages =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.395411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:83055e26bd349eb38b9950af5f2f7921845595afb21823d4db47ead57d7b0ee9

Observation 610e2a7d-4803-4f53-8cb2-cec69a0e0d9c · outbound

This paper cites How to dp-fy ml: A practical tutorial to machine learning with differential privacy.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning How to dp-fy ml: A practical tutorial to machine learning with differential privacy

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-09T07:06:02.852725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:5f39fa63c1454644c519834a467ac9861ac56d756a5272eeb1ac0c04974d4738

Observation a94d10f1-cf02-4e94-9472-0611a824a6b1 · outbound

This paper cites A General Approach to Adding Differential Privacy to Iterative Training Procedures.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning A General Approach to Adding Differential Privacy to Iterative Training Procedures

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T07:06:02.919909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:5e74b18940f6b874395d2373b04c438148131250c4f8d131db0ab8078ade8833

Observation c8d02415-4aca-4a09-aafe-26c83fcbcca8 · outbound

This paper cites Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments , year=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.227521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:b9573c60e418ae8ebbb4847656b1e8179dcd7d6e068534b927d17faf173aa229

Observation 03ba2b4f-76f3-48c1-8240-78da235450c0 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning The Twelfth International Conference on Learning Representations , year=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.233430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:8d87969f5588ca5ab4575939240765d840cb6c5356ba930278ef1d2de96e9927

Observation 6a51f093-5165-4e92-92f1-e92cd6d02958 · outbound

This paper cites Machine Learning , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Machine Learning , volume=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.403867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:276b93e3c2b00ff342af8dc4f5652bd2bc80c0c5221d368b99694f281aa5fc11

Observation 08ae285a-a404-4615-85c3-e4ae7aa7c8e0 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Journal of Machine Learning Research , volume=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.380356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:a3fc99957d58cb4140f56861fbc2df8a2a3f2bbbd6805b1fc82dd980e44fdbdc

Observation 45e846ac-7d4b-438c-8a22-14bb6655b181 · outbound

This paper cites Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T07:06:02.928818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:e91044f34bcd1a0e8f6fb1b7b6ce86cd48417e0932da1aebaf291f0ad0a0506b

Observation 00d80189-5618-48d7-bb05-d25a43847af4 · outbound

This paper cites Communications of the ACM , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Communications of the ACM , volume=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.222543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:1b1bb17413a025ad31436e051bac38f31724a86de57f92b7b77cd8b0d8319263

Observation f0de041f-60ff-4420-8909-af98aa11fa5b · outbound

This paper cites Advances in neural information processing systems , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Advances in neural information processing systems , volume=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.216809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:182fa7b5505aac4da6ce366cf63117b55e3c0d3e8b444fb2f212f41edb560b49

Observation 37ee77d9-8983-4b3b-b5c9-43d193855031 · outbound

This paper cites 2021 , eprint=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning 2021 , eprint=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.316081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:d20eab42b9c621e4a94e07a0c827540b4e176e3976a6442ff4854fd33da489fd

Observation a02eee06-c93a-4aba-a166-2282607f526d · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning The Eleventh International Conference on Learning Representations , year=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.339459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:c710a5a5fe1f7c71c5cf9661867f92b61e73e8ef06c62a66f026da7a49370e03

Observation ade36329-84e0-4842-9194-c8a51d46f357 · outbound

This paper cites International Conference on Machine Learning , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning International Conference on Machine Learning , pages=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.225078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:2762dd4e656a5bbb83d164f84c91487b527cfaaeb01353aa93b527512a51aed4

Observation c7bc7f1d-8f3a-4626-ae0c-7f59e6354627 · outbound

This paper cites Federated Learning with Personalization Layers.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Federated Learning with Personalization Layers

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T07:06:02.910114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:2bd724a8016f7d14b8212b769d8420a53d5753c4bf957f6b9bdd7e7eaa7cdff2

Observation 8662ea27-5c7b-483d-b606-8999ec6176f6 · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , pages =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 38th International Conference on Machine Learning , pages =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.297855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:bd1a39e55617530c79e0ab8c69e857cd30fe09dd838e1c19690f4f169017bdbb

Observation 4bae638f-fae3-44ee-93cf-225a3fc5c6f7 · outbound

This paper cites International conference on machine learning , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning International conference on machine learning , pages=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.294298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:0eff983daa8c8479a60305c5d1d91ae03188d62f363039d6f4fc4ac36216ba1f

Observation fa8700e3-cc4f-46e7-9fa3-2bf53a6a1388 · outbound

This paper cites International Conference on Learning Representations , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning International Conference on Learning Representations , year=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.304873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:599d3529a4fc76dc2fc01b436b46b7902ec61a5347c3e8eb0210029c5e57193d

Observation 20f4d624-c836-47e4-9df2-0a1e0f2fc68f · outbound

This paper cites International Conference on Learning Representations , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning International Conference on Learning Representations , year=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.324264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:56026118632af5a025005a41ac57e61c194e0d65531d8408daa580f98764c90c

Observation e0f86d67-7641-4afb-99e5-76aec64075e5 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning The Eleventh International Conference on Learning Representations , year=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.350049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:6036532d1377aae3f3faa6e3199e88dd5b6985905ab3019a94eb2d82e6aaf897

Observation 76563353-8fe6-45ba-8a5e-1b6d119e4f5c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.227976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:67e432949c84405b5a68e62d0565034817c7a2f8ffb135db4076786937e3bee8

Observation 7ee719ed-9917-4e75-bf86-bc2e6ec63dd3 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.400781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:98c5907d0908f938044f2714402dce6bd7d865910fb38d1622dc418956cfd3f2

Observation 40e1beaa-b5cb-497a-befc-f59b64d2ad88 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.361532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:c86fc2dfd8404e05bc2157fa546759d051a9cae447d51ba097f0c2148d12d415

Observation 41e4e824-ebda-45c1-ad68-2104e7608aad · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.187859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:d2ad9c7389f1cfd6ee2915ac6cd35a73b0529455a81367ab112256d520a19d58

Observation fe836f29-1747-435d-b378-c178d21c8713 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning The Eleventh International Conference on Learning Representations , year=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.184011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:fb2c72ad35dbbf53dcbfa7070bdad0f4a9445a9cdae0f7d8b769f8bc9079ebad

Observation 45c197e7-1dec-4cdf-b9de-1aaf714d7794 · outbound

This paper cites Wichmann and Wieland Brendel , title =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Wichmann and Wieland Brendel , title =

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.347670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:e2d7633e5521f03ce7e75c91507a1ab56ba9fd76a81ae6e3c1fc8a92932a280d

Observation d775541e-7b20-4cbe-899d-315bffaed039 · outbound

This paper cites IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.344934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:5da4aa589205218224c97235a30f77e95d019d0cfb7df1a4a5e07a35b08c6c83

Observation 5d04bd38-d65d-4b97-8832-4e341d995526 · outbound

This paper cites IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) , pages =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) , pages =

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.220119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:d281eb66f327d86db4cde1ab8e993665e7321dc769f810ff0c1fdd5e81620d50

Observation 419005f5-1b37-4e71-853b-531cd6d57b7b · outbound

This paper cites Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2 , pages =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 28th International Conference on Neural Information Processing Systems - Volume 2 , pages =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.406520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:373711703aef960c53bf8c71fd81c256ee96c81a0c4b25a144b8a01739529e83

Observation 22850561-7c63-4c5e-9104-d16e317fd86a · outbound

This paper cites Zeiler and Rob Fergus , title =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Zeiler and Rob Fergus , title =

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.339704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:e5bb19dcd3bf6db7ddbae16d5294b13d533d0dadd55188a10ccbebaf852f2bc2

Observation d2440a01-413e-4209-b8ea-2eb75a84fe5b · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Advances in Neural Information Processing Systems , volume=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.398149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:19fa6649c562928e8aebd30632e395a319de004de2535898e984ae03d39fa062

Observation c4b557d4-6627-433c-8d0c-bd22c1f5465f · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) , month =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) , month =

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.334351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:2f3a1ca7bc04c0a133c2391cdbab7da41a5263d61bd8bb7432a06abf472cd2a4

Observation 3bad3440-41c4-4c33-9194-d1a1d2cb7ef0 · outbound

This paper cites 2024 , eprint=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning 2024 , eprint=

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.392395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:d85297b728d2d001ef258cab2c3c4e07e142cadebd23c5e51d89ce8bb36e96ac

Observation 79ce75dd-a7bb-4028-91c2-848fffbd62e9 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year=

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.389244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:71d6e1f14ed4de5660142b6d67c979f13ee8a7062070fa7e570a233e2d33996f

Observation aceca9dd-2cd5-4c8b-ade1-41a6ca9c0fad · outbound

This paper cites Journal of Machine Learning Research , year =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Journal of Machine Learning Research , year =

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.377666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:8c1636685b71fe8d6403b43a320ee911f672686aaafd1bc3c5bb0717173cc707

Observation 16103fd6-81c4-432f-9d64-d144b1316e30 · outbound

This paper cites ArXiv , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning ArXiv , year=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.375005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:8fe2538ae4c8d957a8379114c81ea996907c001512649f9bf50523b251c99c53

Observation e089ee44-9d3a-4725-8be4-19c5c50af21f · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , articleno =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.371853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:d8e073182463bd63ef843eccf79ce795e117beb8165036bd04797af6e2c62f94

Observation cce0a886-dccc-4542-a966-5f01c0549d2d · outbound

This paper cites Locally Differentially Private Document Generation Using Zero Shot Prompting.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Locally Differentially Private Document Generation Using Zero Shot Prompting

Reference 74

Resolution
verified exact
doi, observed 2026-07-09T07:06:02.862565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:fc1e620317d8336bd400254b5f5f3d7cd7f0f29c760100d3ef298f1ca059f0e5

Observation c7e4cf3f-3b40-4841-b82f-eaa95b665082 · outbound

This paper cites 2025 , eprint=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning 2025 , eprint=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.364692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:1d3edb80db5e9df56521ae23cfca5f90fcc494aecf5d9b95beeabcec44f28b79

Observation 916b5ba4-9d5b-445e-a99a-5bbaae87f9d2 · outbound

This paper cites Boosting Federated Learning with Diffusion Models for Non-IID and Imbalanced Data , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Boosting Federated Learning with Diffusion Models for Non-IID and Imbalanced Data , year=

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.412604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:226c6d804a8ebf59954f4226f68cde52af6c5fee23f5a61674904bc865aca521

Observation 202f8835-e59b-4ca0-9160-344bf1f3d4e3 · outbound

This paper cites Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 77

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T07:06:02.924681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:1d6759a74e39fc074d2420d7542f0d29bd1870dc9ac1c51359240e794df93bc6

Observation 88f52661-9e34-401a-bcba-832f35a77b37 · outbound

This paper cites EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Loss

Reference 78

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T07:06:02.915198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:baf99ef282691a4debf275306ebf00d7b934c2366dab3d712889256af686bfee

Observation 3db2af0e-8edb-47a5-b239-3c987682fa12 · outbound

This paper cites International Conference on Learning Representations , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning International Conference on Learning Representations , year=

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.346210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:a7d38f8cdf699b50036fb10959a78be393d6e82d7ea40cde8c88ebb6630a8ef0

Observation e642a8e2-4f79-4609-aa2d-f232f1ddeaa3 · outbound

This paper cites Journal of Artificial Intelligence Research , volume=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Journal of Artificial Intelligence Research , volume=

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.318650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:f35ffd77b6f8a77088341e1d6c3eff33e5e22e03dc99dac5208fa47314c61447

Observation 74159b89-e12a-45e7-bd6f-bf456726dafb · outbound

This paper cites International conference on artificial intelligence and statistics , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning International conference on artificial intelligence and statistics , pages=

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.336731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:06ceca25c3299c3018c905d9e6e2314bd00da502fd71e9ef982a7d2f3675098e

Observation ab91aa0d-ccb2-453c-8e2f-330a16b693a5 · outbound

This paper cites Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.334002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:06f3bab9782f8416c21a6fc20d5770d3b04cbf428e6e19851019628f8c818830

Observation 5b063b83-3718-4426-9d2d-33318d87d70d · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.324533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:9d66b375537212ccd4e534b5110ab46779d3e737273ef297dbae7dbc0c0ee0f2

Observation f40b0f43-4bd1-4c20-9407-ba4a7e086bbe · outbound

This paper cites Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.331073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:517516d0532754f5d5dc98e5247e8b00f64a9c0c14a38de89197b8bdde68d7bc

Observation be79b0e2-af11-42ca-92ab-a5bd7f4d965c · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.409601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:593cb09074740fd4748ceb9ccd8a11da62d43642592565644d9667ce317f7e3e

Observation 4c80fdd3-4bfd-4d3a-bca3-f98808e48779 · outbound

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

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Practical secure aggregation for privacy-preserving machine learning

Reference 86

Resolution
metadata mismatch
arxiv_id, observed 2026-07-09T07:06:02.857510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:5b27ff9286ef23fb5bd781da96336d611311d90e075a67b1583d706fb2ed8826

Observation fc311799-c1fc-4bb6-af92-8d5190c834d1 · outbound

This paper cites Transactions on Machine Learning Research , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Transactions on Machine Learning Research , year=

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.259439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:40aefee10150c7eff94c9c5ede5f0dd2849437d96998226c6a48fff7545bbb52

Observation 84a85dfb-b86c-4f07-9903-4dafc884c6db · outbound

This paper cites Membership Inference Attacks From First Principles , year=.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Membership Inference Attacks From First Principles , year=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T07:06:03.253642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:a9a08f54ea5372a8bd5523f297b0069cac7c83dcb13355eaa7fbcb6a2269cb74

Observation aeef6676-1aa9-49db-aa84-f3b052df81eb · outbound

This paper cites Advances and open problems in federated learning.

Collaborative Synthetic Data Generation for Knowledge Transfer in Federated Learning Advances and open problems in federated learning

Reference 89

Resolution
verified exact
doi, observed 2026-07-09T07:06:02.848998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T07:01:36.452085Z digest=sha256:bb49a8495e735c617e332cf4f1067df047c320dfd2c0f8a3b4374e8eaada9bc3

Pith citing papers

No inbound Pith citation observations are available.