UA-PDFL: A Personalized Approach for Decentralized Federated Learning | Paper Citation Record

Observation c6f85782-bd91-42df-b2e0-81e08a666933 · outbound

This paper cites an unresolved cited work.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:46:51.722883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ffe60031-e081-4a8d-97b0-fc586955408d · outbound

This paper cites Incremental gradient, subgradient, and proximal methods for convex optimization: A survey.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Incremental gradient, subgradient, and proximal methods for convex optimization: A survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.707924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f934eea8-94fe-46f1-abe9-2b5f3c0c5d3d · outbound

This paper cites Federated learning with hierar- chical clustering of local updates to improve training on non-iid data, in: 2020 International Joint Conference on Neural Networks (IJCNN), IEEE.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Federated learning with hierar- chical clustering of local updates to improve training on non-iid data, in: 2020 International Joint Conference on Neural Networks (IJCNN), IEEE

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.692156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b34c8f9a-5446-4148-99d6-6b80afb28602 · outbound

This paper cites Communication- efficient and model-heterogeneous personalized federated learning via clustered knowledge transfer.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Communication- efficient and model-heterogeneous personalized federated learning via clustered knowledge transfer

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.677277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a94abf2-e5a7-4975-bcd0-1c800aeb2f3f · outbound

This paper cites Dispfl: Towards communication-efficient personalized federated learning via decentral- ized sparse training, in: International conference on machine learning, PMLR.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Dispfl: Towards communication-efficient personalized federated learning via decentral- ized sparse training, in: International conference on machine learning, PMLR

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.662148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74205511-7c45-4581-b8aa-cc125170fa60 · outbound

This paper cites Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach, in: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach, in: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.645718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac83b234-c133-415a-9c31-ff962ca015fc · outbound

This paper cites Federated learning for iot devices: En- hancing tinyml with on-board training.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Federated learning for iot devices: En- hancing tinyml with on-board training

Reference 7

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.418968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c24a6a93-b497-4eeb-a2a4-35682d831444 · outbound

This paper cites Dropout as a bayesian approximation: Insights and applications, in: deep learning workshop, ICML, p.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Dropout as a bayesian approximation: Insights and applications, in: deep learning workshop, ICML, p

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.631025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b090244f-61f2-4d5e-aefc-6810937d5901 · outbound

This paper cites Dropout as a bayesian approxima- tion: Representing model uncertainty in deep learning, in: Balcan, M.F., Weinberger, K.Q.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Dropout as a bayesian approxima- tion: Representing model uncertainty in deep learning, in: Balcan, M.F., Weinberger, K.Q

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.615931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c5b2c5e-a65b-403f-a3e7-1309c1bc72a4 · outbound

This paper cites Trusted decentralized federated learning, in: 2022 IEEE 19th Annual Consumer Communica- tions & Networking Conference (CCNC), IEEE.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Trusted decentralized federated learning, in: 2022 IEEE 19th Annual Consumer Communica- tions & Networking Conference (CCNC), IEEE

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.601112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0c82777c-d5e7-435d-944c-22ab0f691123 · outbound

This paper cites An efficient framework for clustered federated learning.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning An efficient framework for clustered federated learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.439126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9184b736-a104-4748-84a9-4b1271f10814 · outbound

This paper cites Fedmcsa: Personalized federated learning via model components self-attention.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Fedmcsa: Personalized federated learning via model components self-attention

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.443765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c20488ce-006a-4a7d-b5e3-2d62f7ca9d93 · outbound

This paper cites Personalized federated learning: A unified framework and universal optimization techniques.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Personalized federated learning: A unified framework and universal optimization techniques

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.586386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99ee73ed-7dcd-49c9-bd91-a08adfe2cf9c · outbound

This paper cites Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Deep residual learning for image recognition, in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.454114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92799f3c-0d25-4935-9ef0-935c411514e4 · outbound

This paper cites Ran- domization is all you need: A privacy-preserving federated learn- ing framework for news recommendation.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Ran- domization is all you need: A privacy-preserving federated learn- ing framework for news recommendation

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.458706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8422fed0-8adf-414b-95c6-3b1bd7fd104d · outbound

This paper cites A review of deep transfer learning and recent advancements.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning A review of deep transfer learning and recent advancements

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.562792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f6815328-c80d-4d38-a08d-37fdf3a3a44e · outbound

This paper cites A survey on federated learning for resource-constrained iot devices.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning A survey on federated learning for resource-constrained iot devices

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.472498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d775f33-9991-4bcd-9d2b-56d4bcd24beb · outbound

This paper cites an unresolved cited work.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Unresolved cited work

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T14:46:51.547766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 01a5c1fb-c687-42a1-b7cb-ae66da204b26 · outbound

This paper cites Decentralized federated learning through proxy model sharing.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Decentralized federated learning through proxy model sharing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.531632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 67a96632-1625-42e1-a71c-f1f409c64dbf · outbound

This paper cites Personalized decentralized federated learning with knowledge distillation, in: ICC 2023 - IEEE Interna- tional Conference on Communications, pp.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Personalized decentralized federated learning with knowledge distillation, in: ICC 2023 - IEEE Interna- tional Conference on Communications, pp

Reference 20

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.477080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a3a044c-32e2-48f0-8476-68fa79a09961 · outbound

This paper cites On information and sufficiency.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning On information and sufficiency

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.490204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d831c6c-6da1-4931-8062-4f06ecfe3660 · outbound

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

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Learning multiple layers of features from tiny images

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.517035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ec3890f-2f6b-4a2d-b473-8ccac7b2c4b2 · outbound

This paper cites Decentralized federated learning via mutual knowledge transfer.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Decentralized federated learning via mutual knowledge transfer

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.476552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b842158-17bf-4c0b-b8d2-2fa05699b947 · outbound

This paper cites Fully de- centralized federated learning, in: Third workshop on bayesian deep learning (NeurIPS).

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Fully de- centralized federated learning, in: Third workshop on bayesian deep learning (NeurIPS)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.491692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9f05476-a762-4b6e-aa09-c2581b127aa5 · outbound

This paper cites Ditto: Fair and robust federated learning through personalization, in: International Conference on Machine Learning, PMLR.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Ditto: Fair and robust federated learning through personalization, in: International Conference on Machine Learning, PMLR

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.447932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be7e08b3-aa36-46f3-99c9-561ee8a35701 · outbound

This paper cites Model-contrastive federated learning, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Model-contrastive federated learning, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.462170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b82d5c44-91b1-4069-9e4f-a799a5a276c5 · outbound

This paper cites Efficient decentral- ized optimization for edge-enabled smart manufacturing: A fed- erated learning-based framework.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Efficient decentral- ized optimization for edge-enabled smart manufacturing: A fed- erated learning-based framework

Reference 27

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.519705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb87da5f-6631-483b-89d8-e41ef86c99ed · outbound

This paper cites Think Locally, Act Globally: Federated Learning with Local and Global Representations.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.514091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c80a22d5-1908-4bb0-82ee-0c1297e94dc1 · outbound

This paper cites Multi- center federated learning: clients clustering for better personalization.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Multi- center federated learning: clients clustering for better personalization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.417237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cd0b1eef-5b23-4d4f-acd0-4aaae56b0963 · outbound

This paper cites Fedcoin: A peer-to-peer payment system for federated learning, in: Federated learning: privacy and incentive.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Fedcoin: A peer-to-peer payment system for federated learning, in: Federated learning: privacy and incentive

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.433543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b689326-b247-4508-8827-8f1d56246343 · outbound

This paper cites Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.388290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 785deb3b-ea70-4c8d-8f0b-53685250ce25 · outbound

This paper cites Like attracts like: Personalized federated learning in decentralized edge computing.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Like attracts like: Personalized federated learning in decentralized edge computing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.402706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9bc3c974-e724-43de-ae67-6a231c33785f · outbound

This paper cites The jensen- shannon divergence.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning The jensen- shannon divergence

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.346237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 770a3687-1a5c-4197-af27-870354b9440f · outbound

This paper cites Flis: Clustered federated learning via inference similarity for non-iid data distribution.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Flis: Clustered federated learning via inference similarity for non-iid data distribution

Reference 34

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.560525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b0cb82-36cc-42d9-9d8c-1866a1c0b120 · outbound

This paper cites an unresolved cited work.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:46:51.374276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 19d49526-b897-49ac-a51f-b9f2ca41227f · outbound

This paper cites A federated learning incen- tive mechanism in a non-monopoly market.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning A federated learning incen- tive mechanism in a non-monopoly market

Reference 36

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.569252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b27950b4-2626-4eff-a81e-68fc9d8c1eb5 · outbound

This paper cites Reading digits in natural images with unsupervised feature 36 learning, in: NIPS workshop on deep learning and unsupervised feature learning, Granada, Spain.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Reading digits in natural images with unsupervised feature 36 learning, in: NIPS workshop on deep learning and unsupervised feature learning, Granada, Spain

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.315918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f628412-578a-48ed-9a4b-e2f7ff2b9ff2 · outbound

This paper cites Federated learning with partial model personalization, in: Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G., Sabato, S.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Federated learning with partial model personalization, in: Chaudhuri, K., Jegelka, S., Song, L., Szepesvari, C., Niu, G., Sabato, S

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.301259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33ef0307-1ecf-4214-b0b3-609e14f2c64d · outbound

This paper cites Flis: Clustered federated learning via inference similarity for non-iid data distribution.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Flis: Clustered federated learning via inference similarity for non-iid data distribution

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.332011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dadaafd1-5e2b-4051-90c5-d428dc81fb06 · outbound

This paper cites BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.592436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29d53753-b5a0-4e75-a229-933c233f7a67 · outbound

This paper cites Clustered federated learn- ing: Model-agnostic distributed multitask optimization under privacy constraints.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Clustered federated learn- ing: Model-agnostic distributed multitask optimization under privacy constraints

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.256297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2df7e738-4dd9-40ac-b2a9-77aeb0372b1c · outbound

This paper cites Ef- ficient and privacy-preserving online diagnosis scheme based on federated learning in e-healthcare system.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Ef- ficient and privacy-preserving online diagnosis scheme based on federated learning in e-healthcare system

Reference 42

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.601899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee19fc2c-5188-4737-b148-e68708cded00 · outbound

This paper cites an unresolved cited work.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:46:51.285674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ab55541-7d16-4548-a5c4-b94252eb3aa7 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Dropout: a simple way to prevent neural networks from overfitting

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.241617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29e55764-f6f1-4a14-a5c9-1cea1e7d82a4 · outbound

This paper cites Decentralized federated averaging.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Decentralized federated averaging

Reference 45

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T14:46:50.282272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7ceabdda-53fa-4145-87fd-f9507b65cb22 · outbound

This paper cites Gossipfl: A decentralized fed- erated learning framework with sparsified and adaptive communication.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Gossipfl: A decentralized fed- erated learning framework with sparsified and adaptive communication

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.226450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ca0b5d2-21c4-4207-bce7-5e2f9bfbd0b5 · outbound

This paper cites Towards personalized federated learning via heterogeneous model re- assembly.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Towards personalized federated learning via heterogeneous model re- assembly

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.211509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 209e6878-d11c-4563-a5fb-2f21781bdf81 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.606507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 251544a4-1d99-4e31-af5e-0e0f80153d99 · outbound

This paper cites an unresolved cited work.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:46:51.196932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6054852f-2540-4a62-a8d8-0f0805af4f14 · outbound

This paper cites Decentral and incentivized federated learning frameworks: A systematic literature review.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Decentral and incentivized federated learning frameworks: A systematic literature review

Reference 50

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.643237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02fb41d9-f73e-4806-8075-23e5646050a5 · outbound

This paper cites Communication- efficient federated learning via knowledge distillation.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Communication- efficient federated learning via knowledge distillation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.167208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 282094b7-623e-42b5-b3e2-4707bcfb866c · outbound

This paper cites Feddk: Improving cyclic knowledge distillation for personalized healthcare federated learning.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Feddk: Improving cyclic knowledge distillation for personalized healthcare federated learning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.652105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6643138-492a-46ac-a282-92e68612813a · outbound

This paper cites Personalized federated learning via heterogeneous mod- ular networks, in: 2022 IEEE International Conference on Data Mining (ICDM), pp.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Personalized federated learning via heterogeneous mod- ular networks, in: 2022 IEEE International Conference on Data Mining (ICDM), pp

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.630068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d573768-fb8a-4f9e-9cd1-ea5c1660959c · outbound

This paper cites an unresolved cited work.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:46:51.137181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1bf79b04-6d25-43a7-9981-72f5e4bccc48 · outbound

This paper cites IEEE Transactions on Dependable and Se- cure Computing 18, 2438–2455.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning IEEE Transactions on Dependable and Se- cure Computing 18, 2438–2455

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.182270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 04855966-dc0d-48d7-b94b-4fc37a4db463 · outbound

This paper cites Personalized and privacy-enhanced federated learning framework via knowledge distillation.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Personalized and privacy-enhanced federated learning framework via knowledge distillation

Reference 56

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T14:46:50.006460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dfc07e5b-7c1c-4c84-84df-92f8370fd792 · outbound

This paper cites Under- standing deep learning (still) requires rethinking generalization.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Under- standing deep learning (still) requires rethinking generalization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.678475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44fd5b43-8762-4a23-85e4-414c84874de5 · outbound

This paper cites Fed- brain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Fed- brain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis

Reference 58

Resolution: malformed identifier; no resolver link, observed 2026-08-11T14:46:49.682868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d5cc7ce-7cc6-4b2f-8974-3d0dfadbfd9c · outbound

This paper cites an unresolved cited work.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:46:51.152289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a55a2b18-6933-4433-b596-b7e72b0472ff · outbound

This paper cites Blockchain challenges and opportunities: A survey.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Blockchain challenges and opportunities: A survey

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.075050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 97edb319-7678-4196-9b92-8ebb9bbf4f32 · outbound

This paper cites Comavg: Robust decentralized federated learning with random committees.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Comavg: Robust decentralized federated learning with random committees

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.060163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 98f03f45-bb35-4a7b-aed5-8540cd2786aa · outbound

This paper cites Robust clustered federated learning, in: International Conference on Database Systems for Advanced Applications, Springer.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Robust clustered federated learning, in: International Conference on Database Systems for Advanced Applications, Springer

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.106161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 96cb7cc8-7986-4afc-8483-3a3e0c3e01a2 · outbound

This paper cites Federated learn- ing on non-iid data: A survey.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Federated learn- ing on non-iid data: A survey

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.044841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf443720-7552-43d4-949e-2017c130a709 · outbound

This paper cites Personalized feder- ated learning via variational bayesian inference, in: International Con- ference on Machine Learning, PMLR.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Personalized feder- ated learning via variational bayesian inference, in: International Con- ference on Machine Learning, PMLR

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.089683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f87b70c5-6eb9-43e3-95e2-dbd3903c7b29 · outbound

This paper cites Federated two-stage decoupling with adaptive personalization layers.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Federated two-stage decoupling with adaptive personalization layers

Reference 69

Resolution: verified exact; doi, observed 2026-08-11T14:46:49.757655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d50e107d-018d-4a10-bf17-7b770282fb1e · outbound

This paper cites an unresolved cited work.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Unresolved cited work

Reference 390

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.709149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ab0dd73-b5e0-45c5-8fbd-9431c43e3b2f · outbound

This paper cites (Eds.), Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning (Eds.), Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.360437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7930a1b4-5155-4dd7-a310-36127dbf445b · outbound

This paper cites Federated Learning with Personalization Layers.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Federated Learning with Personalization Layers

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.389560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5685b0e5-cfa1-4732-be02-15304c3ce1b7 · outbound

This paper cites IEEE Network 35, 156–162.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning IEEE Network 35, 156–162

Reference 2021

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T14:46:51.270687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8623df66-5157-4d19-a9cd-de18f7911b4a · outbound

This paper cites Scientific Data 10, 41.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Scientific Data 10, 41

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:46:51.121540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85a9f026-0019-4013-9fad-1af69b12fbf1 · outbound

This paper cites an unresolved cited work.

UA-PDFL: A Personalized Approach for Decentralized Federated Learning Unresolved cited work

Reference 3013

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:49.542283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers