FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios | Paper Citation Record

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Federated Learning Based on Dynamic Regularization

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Towards Federated Long-Tailed Learning

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Momentum Benefits Non-IID Federated Learning Simply and Provably

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

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This paper cites Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Federated Learning via Synthetic Data

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Interference-free Walks in Time: Temporally Disjoint Paths

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Neural Collapse: A Review on Modelling Principles and Generalization

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Krizhevsky and G

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Adaptive Federated Optimization

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios On the product formula for Toeplitz and related operators

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data

Reference 51

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios FedCM: Federated Learning with Client-level Momentum

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FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

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This paper cites an unresolved cited work.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:10.383239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67b4ac87-06c0-4c37-8460-d3f9150c44ce · outbound

This paper cites an unresolved cited work.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:13.162676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98de2591-1e85-412e-bf30-9a62dfb01929 · outbound

This paper cites A Survey on Class Imbalance in Federated Learning.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios A Survey on Class Imbalance in Federated Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:10.801830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a90555-5b5e-4870-b499-863789ff1068 · outbound

This paper cites an unresolved cited work.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:12.807461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83f6dd9d-ce8c-4e4d-8a7d-3e2acaa62758 · outbound

This paper cites an unresolved cited work.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:49:12.610607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8697293-270a-4e9d-938c-1a2c0cd3427c · outbound

This paper cites Shear flow in a three-dimensional complex plasma in microgravity conditions.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Shear flow in a three-dimensional complex plasma in microgravity conditions

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:49:11.566293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96df80b5-f836-42bf-ab36-967e1b705a08 · outbound

This paper cites an unresolved cited work.

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T15:49:11.315362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cbd8dcf-d149-4f68-b316-dcb94670384b · outbound

This paper cites In2020 USENIX Annual Technical Conference (USENIX ATC 20).

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios In2020 USENIX Annual Technical Conference (USENIX ATC 20)

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:49:13.008454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers