PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning | Paper Citation Record

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

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This paper cites Morris Chang.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Morris Chang

Reference 3

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This paper cites Federated Learning with Personalization Layers.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Federated Learning with Personalization Layers

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

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This paper cites A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

Reference 7

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

Reference 8

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This paper cites Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

Reference 10

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This paper cites Dinh, Nguyen Hoang Tran, and Tuan Dung Nguyen.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Dinh, Nguyen Hoang Tran, and Tuan Dung Nguyen

Reference 11

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Ozdaglar

Reference 13

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

Reference 14

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

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This paper cites Federated Learning for Mobile Keyboard Prediction.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Federated Learning for Mobile Keyboard Prediction

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

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This paper cites Jacobs, Michael I.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Jacobs, Michael I

Reference 20

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

Reference 21

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This paper cites Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A

Reference 22

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Reddi, Se- bastian U

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Think Locally, Act Globally: Federated Learning with Local and Global Representations

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Stich, and Martin Jaggi

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Owens, and Yixuan Li

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Federated Mutual Learning

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

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PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning

Reference 57

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Observation 83ce193d-0af7-4355-bc53-da2b090aefbc · outbound

This paper cites an unresolved cited work.

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Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:22:38.387519Z

Source-reported events for the cited work

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Observation d6651760-775c-4f30-9586-333ddee6f54c · outbound

This paper cites an unresolved cited work.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:22:38.376294Z

Source-reported events for the cited work

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

Observation b1254293-9f98-4308-9fa2-fc4f3dcfd77c · outbound

This paper cites an unresolved cited work.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:22:38.364730Z

Source-reported events for the cited work

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

Observation 5435e7fa-d626-41f8-982b-5916d19e1006 · outbound

This paper cites an unresolved cited work.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:22:38.353451Z

Source-reported events for the cited work

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

Observation 1b4cefac-f0de-45d9-bd1e-5e723d9751b0 · outbound

This paper cites PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T19:22:38.110494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58cacc1c-46f1-4435-88a1-dc5da65dfb3a · outbound

This paper cites an unresolved cited work.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:22:38.339892Z

Source-reported events for the cited work

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

Observation 8f68b496-5f90-4792-8ef9-3c43b4d19d17 · outbound

This paper cites Zhao, Andrew M.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Zhao, Andrew M

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:22:38.326634Z

Source-reported events for the cited work

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

Observation 5d55381f-d0d8-4907-a602-dba86b5624d9 · outbound

This paper cites fine" label (its specific class) and a.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning fine" label (its specific class) and a

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:22:38.312668Z

Source-reported events for the cited work

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

Observation 6e3b1dda-ccdb-40df-8389-4c6946055833 · outbound

This paper cites Neural Comput.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning Neural Comput

Reference 1991

Resolution: unresolved; no resolver link, observed 2026-08-09T19:22:37.944179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18e62cf-fa67-44ca-9901-e0e85c9e743c · outbound

This paper cites In Ma- chine Learning and Knowledge Discovery in Databases.

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Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:22:38.603325Z

Source-reported events for the cited work

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

Observation 7bdcca1d-617e-4d77-94f5-4311a6249446 · outbound

This paper cites In Proceedings of the IEEE/CVF International Conference on Computer Vision.

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning In Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T19:22:37.963241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers