Hypernetworks for Model-Heterogeneous Personalized Federated Learning | Paper Citation Record

Observation 4b063edb-ccd2-4c81-80a0-14d4edd48c66 · outbound

This paper cites Adaptive segmentation enhanced asynchronous federated learning for sustainable intelligent transportation systems.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Adaptive segmentation enhanced asynchronous federated learning for sustainable intelligent transportation systems

Reference 1

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Observation f18b426d-dc16-4908-8d4b-65baafff07d7 · outbound

This paper cites Ai- empowered trajectory anomaly detection for intelligent transportation systems: A hierarchi- cal federated learning approach.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Ai- empowered trajectory anomaly detection for intelligent transportation systems: A hierarchi- cal federated learning approach

Reference 2

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Observation bd4967a9-f532-47c9-948f-b9187e74b843 · outbound

This paper cites Reliable federated learning with gan model for robust and resilient future healthcare system.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Reliable federated learning with gan model for robust and resilient future healthcare system

Reference 3

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This paper cites Harmony: Heterogeneous multi-modal federated learning through disentangled model training.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Harmony: Heterogeneous multi-modal federated learning through disentangled model training

Reference 4

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Observation 08e8b249-3af8-4790-89ed-611a728b7180 · outbound

This paper cites Federated learning for smart healthcare: A survey.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Federated learning for smart healthcare: A survey

Reference 5

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Observation 91521372-1a29-4780-aa14-0e890f84ee6b · outbound

This paper cites Robust privacy-preserving recommendation systems driven by multimodal federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Robust privacy-preserving recommendation systems driven by multimodal federated learning

Reference 6

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Observation d67c3a78-7102-4e96-8002-29f36ec6edfd · outbound

This paper cites Federated unlearning for on-device recommendation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Federated unlearning for on-device recommendation

Reference 7

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Observation 0f82ac50-fe61-4438-bea2-7bb76da5d119 · outbound

This paper cites Prefer: Point-of-interest recommendation with efficiency and privacy-preservation via federated edge learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Prefer: Point-of-interest recommendation with efficiency and privacy-preservation via federated edge learning

Reference 8

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Observation f919e214-ad8a-4fa0-81f0-c7e3832c5cd2 · outbound

This paper cites Federated multi-task learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Federated multi-task learning

Reference 9

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Observation 9bb3f9df-e23d-4eba-be50-dd3d1b1978ba · outbound

This paper cites Personalized federated learning with moreau envelopes.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Personalized federated learning with moreau envelopes

Reference 10

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Observation 4a161366-e5f2-4199-844b-faee9a7e5bbd · outbound

This paper cites Adaptive Personalized Federated Learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Adaptive Personalized Federated Learning

Reference 11

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Hypernetworks for Model-Heterogeneous Personalized Federated Learning Unresolved cited work

Reference 12

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Observation f32263fb-ca23-4195-9df4-65c749e90b38 · outbound

This paper cites Tifl: A tier-based federated learning system.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Tifl: A tier-based federated learning system

Reference 13

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Observation 6a34ea21-ed43-481d-9b54-1635f6179fa6 · outbound

This paper cites Effective heterogeneous federated learning via efficient hypernetwork-based weight generation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Effective heterogeneous federated learning via efficient hypernetwork-based weight generation

Reference 14

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Observation e499e0b6-db8d-4568-8b6d-0aa54bd900ad · outbound

This paper cites Expanding the Reach of Federated Learning by Reducing Client Resource Requirements.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

Reference 15

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Observation 365bf923-a055-4293-aa90-514c62d521f3 · outbound

This paper cites Group knowledge transfer: federated learning of large cnns at the edge.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Group knowledge transfer: federated learning of large cnns at the edge

Reference 16

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Observation 8973c9e8-b456-421a-b43b-0d4c878625dd · outbound

This paper cites an unresolved cited work.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Unresolved cited work

Reference 17

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Observation c5291661-0de6-42a8-b847-6bee5605ef11 · outbound

This paper cites FedMD: Heterogenous Federated Learning via Model Distillation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning FedMD: Heterogenous Federated Learning via Model Distillation

Reference 18

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Observation 3c99636d-8b69-4e04-8034-483214cfe66b · outbound

This paper cites Data-free knowledge distillation for heteroge- neous federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Data-free knowledge distillation for heteroge- neous federated learning

Reference 19

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Observation 35671914-c607-43b9-acf5-18db608733e8 · outbound

This paper cites Exploring the distributed knowledge congruence in proxy-data-free federated distillation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Exploring the distributed knowledge congruence in proxy-data-free federated distillation

Reference 20

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Observation 94b6d5b1-5724-4555-98f2-03e95d2ad324 · outbound

This paper cites Efficient Personalized Federated Learning via Sparse Model-Adaptation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Efficient Personalized Federated Learning via Sparse Model-Adaptation

Reference 21

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Observation 6f34ab4d-08ec-477f-8750-e88a23b6f1fc · outbound

This paper cites Hetero{fl}: Computation and communication efficient federated learning for heterogeneous clients.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Hetero{fl}: Computation and communication efficient federated learning for heterogeneous clients

Reference 22

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Observation df76cfd8-a813-4685-ad06-2592347c87de · outbound

This paper cites Fedrolex: Model-heterogeneous federated learning with rolling sub-model extraction.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Fedrolex: Model-heterogeneous federated learning with rolling sub-model extraction

Reference 23

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Observation b6d7aaa6-5650-4bb0-b0b7-e07491493382 · outbound

This paper cites Efficient split-mix federated learning for on-demand and in-situ customization, 2022.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Efficient split-mix federated learning for on-demand and in-situ customization, 2022

Reference 24

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Observation 1eca4262-e0e0-4c29-acdc-e7e1ef87d294 · outbound

This paper cites Fedconv: A learning-on-model paradigm for heterogeneous federated clients.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Fedconv: A learning-on-model paradigm for heterogeneous federated clients

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:33.059754Z

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Observation d1a07f14-df8e-46ca-8a0d-6747a91f4e3c · outbound

This paper cites Zhang, Song Guo, Jingcai Guo, Deze Zeng, Jingren Zhou, and Albert Y.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Zhang, Song Guo, Jingcai Guo, Deze Zeng, Jingren Zhou, and Albert Y

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:33.040931Z

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Observation bc682e3a-cf60-40d8-829b-7b845a60550c · outbound

This paper cites Dfrd: Data-free robustness distillation for heterogeneous federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Dfrd: Data-free robustness distillation for heterogeneous federated learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:33.022185Z

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Observation fc368276-aeb6-4211-9c3b-c3097e86208a · outbound

This paper cites Adapter-guided knowledge transfer for heterogeneous federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Adapter-guided knowledge transfer for heterogeneous federated learning

Reference 28

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Observation f358d4b3-fd88-458d-872e-46b91e79c048 · outbound

This paper cites Heteroge- neous federated learning framework for iiot based on selective knowledge distillation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Heteroge- neous federated learning framework for iiot based on selective knowledge distillation

Reference 29

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Observation 756a3459-c8be-44aa-ab12-12a0320a8a39 · outbound

This paper cites Personalized Federated Learning with Feature Alignment and Classifier Collaboration.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Reference 30

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Observation a0802a3a-5595-4bc0-b39e-0efbafdf33f2 · outbound

This paper cites Exploiting shared representations for personalized federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Exploiting shared representations for personalized federated learning

Reference 31

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Observation 2f8e9fa9-10f6-4c6c-ac14-42db944fc737 · outbound

This paper cites Federated Learning with Personalization Layers.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Federated Learning with Personalization Layers

Reference 32

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Observation 245e328d-f7d2-4cb1-8f44-15b473b171e3 · outbound

This paper cites Allen, Randy P.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Allen, Randy P

Reference 33

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Observation 28bd6b93-305e-4d93-87f1-cbc0ba2ab602 · outbound

This paper cites Fedclassavg: Local representation learning for personalized federated learning on heterogeneous neural networks.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Fedclassavg: Local representation learning for personalized federated learning on heterogeneous neural networks

Reference 34

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Observation 5b1d7067-d915-46b6-9778-d19252818c22 · outbound

This paper cites Fedgh: Heterogeneous federated learning with generalized global header.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Fedgh: Heterogeneous federated learning with generalized global header

Reference 35

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Observation 7765f729-bfa7-47d4-b596-a8a343a96528 · outbound

This paper cites pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing

Reference 36

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Observation 5a729362-dc13-427b-ad0c-e77f35ace4cf · outbound

This paper cites Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.881156Z

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Observation 825a1a95-8daf-4e29-a61d-dc757b9650fb · outbound

This paper cites Scalefl: Resource-adaptive federated learning with heterogeneous clients.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Scalefl: Resource-adaptive federated learning with heterogeneous clients

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.863417Z

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Observation a4483328-0b4b-40c7-88ed-160fb157133b · outbound

This paper cites an unresolved cited work.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:55:32.845843Z

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Observation 5169c7a3-4bfa-485b-8685-abf38e400a25 · outbound

This paper cites Ensemble attention distillation for privacy-preserving federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Ensemble attention distillation for privacy-preserving federated learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.829452Z

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Observation 982d771d-17bb-4a3a-ad65-ba70ae082893 · outbound

This paper cites Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data

Reference 41

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Observation fcf2064b-35f3-427e-bbfd-7c0dc4025901 · outbound

This paper cites Fed-dfa: Federated distillation for heterogeneous model fusion through the adversarial lens.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Fed-dfa: Federated distillation for heterogeneous model fusion through the adversarial lens

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.802013Z

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Observation fdbe0389-178b-460f-b119-0e712c497ddc · outbound

This paper cites Dai, and Quoc V.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Dai, and Quoc V

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.786428Z

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Observation 8e1fcb71-f3c3-464f-8828-abdb3e19fd25 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Distilling the Knowledge in a Neural Network

Reference 44

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Observation 0a163c12-c140-45b2-8060-d1d077f74a34 · outbound

This paper cites Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Reference 45

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Observation 4572a048-d03b-4938-8547-5b7705725fc4 · outbound

This paper cites Continual learning with hypernetworks.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Continual learning with hypernetworks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.769665Z

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Observation 6991c5b1-b81f-47b8-937e-475a2a5f086a · outbound

This paper cites Language modeling with recurrent highway hypernetworks.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Language modeling with recurrent highway hypernetworks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.750979Z

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Observation d4b783da-3b60-4a96-8dbf-25afcd02e6ac · outbound

This paper cites Hyperseg: Patch-wise hypernetwork for real-time semantic segmentation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Hyperseg: Patch-wise hypernetwork for real-time semantic segmentation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.734782Z

Source-reported events for the cited work

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Observation c0ed220b-c009-4400-8c6f-c3a38066c9a8 · outbound

This paper cites Recurrent hypernetworks are surprisingly strong in meta-rl.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Recurrent hypernetworks are surprisingly strong in meta-rl

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.719180Z

Source-reported events for the cited work

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Observation fb312587-ce7d-4633-80dc-66b532a3bef0 · outbound

This paper cites Hyperdreambooth: Hypernetworks for fast personaliza- tion of text-to-image models.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Hyperdreambooth: Hypernetworks for fast personaliza- tion of text-to-image models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.703301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 81720f7a-64cb-40e4-81ab-f68335b9961c · outbound

This paper cites Personalized federated learning using hypernetworks.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Personalized federated learning using hypernetworks

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.687034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 824a92f3-37e2-4549-b312-a7e8fc290486 · outbound

This paper cites Layer-wise personalized federated learning with hypernetwork.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Layer-wise personalized federated learning with hypernetwork

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.670019Z

Source-reported events for the cited work

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Observation bff95eff-85ee-4a40-b7ed-29d5e5f94ab7 · outbound

This paper cites Pefll: Personalized federated learning by learning to learn.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Pefll: Personalized federated learning by learning to learn

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.652597Z

Source-reported events for the cited work

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Observation ec848df5-b2a0-451d-b786-c6e4f9b2d20c · outbound

This paper cites Layer-wised model aggregation for personalized federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Layer-wised model aggregation for personalized federated learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.635192Z

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Observation 72777ea0-eba7-4e29-9c94-bd267da73d3e · outbound

This paper cites Hypershot: Few-shot learning by kernel hypernetworks.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Hypershot: Few-shot learning by kernel hypernetworks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.619031Z

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Observation 31307e4e-d82f-45c2-87ab-5a1357e57c01 · outbound

This paper cites Federated Learning with Heterogeneous Architectures using Graph HyperNetworks.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Federated Learning with Heterogeneous Architectures using Graph HyperNetworks

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:55:32.080239Z

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Observation 11790c2d-d542-4722-a02f-053e96479203 · outbound

This paper cites FedBN: Federated learning on non-IID features via local batch normalization.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning FedBN: Federated learning on non-IID features via local batch normalization

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.602421Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c4b8c6f9-361a-4d9d-aa72-22083eb31f7c · outbound

This paper cites How does a deep learning model architecture impact its privacy? a comprehensive study of privacy attacks on cnns and transformers.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning How does a deep learning model architecture impact its privacy? a comprehensive study of privacy attacks on cnns and transformers

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.583331Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 754dcc7d-32d6-4166-a7f8-a94180bcd1fb · outbound

This paper cites Depthfl: Depthwise federated learning for heterogeneous clients.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Depthfl: Depthwise federated learning for heterogeneous clients

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.563557Z

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Observation c372941a-aed9-4c89-9cd2-1c82edddf122 · outbound

This paper cites Communication-Efficient Federated Distillation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Communication-Efficient Federated Distillation

Reference 60

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Observation 009d1175-231c-41ec-bf97-47d9e2428bd0 · outbound

This paper cites FedKD: Communication Efficient Federated Learning via Knowledge Distillation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning FedKD: Communication Efficient Federated Learning via Knowledge Distillation

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:55:32.029232Z

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Observation e7f912b2-6112-4206-9ca1-ce0719b56481 · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Ensemble distillation for robust model fusion in federated learning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.546023Z

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Observation b05ff824-c75b-41ba-9443-0b92ec82719a · outbound

This paper cites Parameterized knowledge transfer for personalized federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Parameterized knowledge transfer for personalized federated learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.529153Z

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Observation cb8613c7-6388-4f6a-938d-4a374c7bd5c3 · outbound

This paper cites Dense: Data-free one-shot federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Dense: Data-free one-shot federated learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.512255Z

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Observation 6d9831b5-87e9-4de8-91fb-9c22a31905ec · outbound

This paper cites Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.794855Z

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Observation c62f8b8b-6b9d-49ea-aa6b-a31ee4119c45 · outbound

This paper cites Fedzkt: Zero-shot knowledge transfer towards resource-constrained federated learning with heterogeneous on-device models.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Fedzkt: Zero-shot knowledge transfer towards resource-constrained federated learning with heterogeneous on-device models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.493786Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 717cb9b2-ef91-4621-ade9-843728452fe0 · outbound

This paper cites Generative adversarial networks.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Generative adversarial networks

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.805033Z

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Observation fa0b5627-666e-4e7a-b234-9f6650f1b452 · outbound

This paper cites Dfrd: data- free robustness distillation for heterogeneous federated learning.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Dfrd: data- free robustness distillation for heterogeneous federated learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.465282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 73e31086-ad30-4ffa-a01a-d047016a3a18 · outbound

This paper cites $i$-divergence geometry of probability distributions and minimization problems.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning $i$-divergence geometry of probability distributions and minimization problems

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.447784Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f6338b5-f37c-4e4e-9f40-58bda1f24dfb · outbound

This paper cites EMNIST: extending MNIST to handwritten letters.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning EMNIST: extending MNIST to handwritten letters

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.430716Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e764d9e-5bc7-436f-878a-9a150b52fff4 · outbound

This paper cites Krizhevsky and G.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Krizhevsky and G

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.413711Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da0cd35a-b889-465e-9606-2da0cf8385b6 · outbound

This paper cites Tiny imagenet visual recognition challenge.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Tiny imagenet visual recognition challenge

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.829040Z

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Observation 6296054a-87c3-4c67-8121-64a24e041b23 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Federated learning on non-iid data silos: An experimental study

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.834280Z

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Observation 26bceac6-59a3-48d7-a039-b891112349c2 · outbound

This paper cites Fedlpa: One-shot federated learning with layer-wise posterior aggregation.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Fedlpa: One-shot federated learning with layer-wise posterior aggregation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.372532Z

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Observation c78eec29-91b5-4c18-a412-cf174f7dd8cd · outbound

This paper cites Gradient-based learning applied to document recognition.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Gradient-based learning applied to document recognition

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.845076Z

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Observation 0d8adad1-9bb9-4d89-9116-bddb69ed8c80 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Very deep convolutional networks for large-scale image recognition

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.336782Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf82da11-d789-4b80-9373-21306ab40ebf · outbound

This paper cites Deep residual learning for im- age recognition.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Deep residual learning for im- age recognition

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:55:32.317156Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c0e9a66-41de-427d-8538-7325e02c87ec · outbound

This paper cites Wide Residual Networks.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Wide Residual Networks

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.861400Z

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Observation c610f713-64db-4dad-bd15-0d9f2e526030 · outbound

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

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Communication-efficient learning of deep networks from decentralized data

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.866899Z

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Observation 26ce51fe-6a55-46a2-856d-ea4ab42afa56 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning Adam: A Method for Stochastic Optimization

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.872063Z

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Observation e4956ecc-63d0-4485-a339-9d7f066771e9 · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.878096Z

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Observation 8b6b1013-0c0b-4f4f-8733-ef2009a49fbb · outbound

This paper cites iDLG: Improved Deep Leakage from Gradients.

Hypernetworks for Model-Heterogeneous Personalized Federated Learning iDLG: Improved Deep Leakage from Gradients

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.884037Z

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Observation c5df9a32-d8a0-4e58-b396-9dd87d243f66 · outbound

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Hypernetworks for Model-Heterogeneous Personalized Federated Learning Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:31.637225Z

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