FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA | Paper Citation Record

Observation a3330144-5d95-46bb-ae23-4bde854e8133 · outbound

This paper cites SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 1

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This paper cites Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources

Reference 2

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This paper cites Fedalt: Federated fine-tuning through adaptive local training with rest-of-the-world lora.arXiv preprint arXiv:2503.11880, 2025.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Fedalt: Federated fine-tuning through adaptive local training with rest-of-the-world lora.arXiv preprint arXiv:2503.11880, 2025

Reference 3

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This paper cites Lora-fair: Federated lora fine-tuning with aggregation and initialization refinement, 2025.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Lora-fair: Federated lora fine-tuning with aggregation and initialization refinement, 2025

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This paper cites Boerner, Stephen Deems, Thomas R.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Boerner, Stephen Deems, Thomas R

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This paper cites On the Opportunities and Risks of Foundation Models.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA On the Opportunities and Risks of Foundation Models

Reference 6

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This paper cites On the applications of robust pca in image and video processing.Proceedings of the IEEE, 106(8):1427–1457, 2018.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA On the applications of robust pca in image and video processing.Proceedings of the IEEE, 106(8):1427–1457, 2018

Reference 7

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This paper cites Robust pca via principal component pursuit: A review for a comparative evaluation in video surveillance.Computer Vision and Image Understanding, 122:22–34, 2014.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Robust pca via principal component pursuit: A review for a comparative evaluation in video surveillance.Computer Vision and Image Understanding, 122:22–34, 2014

Reference 8

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This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.Foundations and Trends® in Machine Learning, 3(1):1–122, 2011.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Distributed optimization and statistical learning via the alternating direction method of multipliers.Foundations and Trends® in Machine Learning, 3(1):1–122, 2011

Reference 9

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Observation 76c5980b-2ea0-42f5-aea4-df8937041a6b · outbound

This paper cites Language models are few-shot learners.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Language models are few-shot learners

Reference 10

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This paper cites X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design

Reference 11

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Observation 9254b4a3-c7c4-4d5f-a1da-b117798e033f · outbound

This paper cites Learned robust PCA: A scalable deep unfolding approach for high-dimensional outlier detection.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Learned robust PCA: A scalable deep unfolding approach for high-dimensional outlier detection

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This paper cites Robust principal component analysis? Journal of the ACM (JACM), 58(3):1–37, 2011.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Robust principal component analysis? Journal of the ACM (JACM), 58(3):1–37, 2011

Reference 13

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This paper cites Candès, Xiaodong Li, Yi Ma, and John Wright.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Candès, Xiaodong Li, Yi Ma, and John Wright

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This paper cites Feddat: An approach for foundation model finetuning in multi-modal heterogeneous federated learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Feddat: An approach for foundation model finetuning in multi-modal heterogeneous federated learning

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This paper cites On the importance and applicability of pre-training for federated learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA On the importance and applicability of pre-training for federated learning

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This paper cites FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers

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This paper cites Heterogeneous LoRA for federated fine-tuning of on-device foundation models.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Heterogeneous LoRA for federated fine-tuning of on-device foundation models

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Observation 37ab8632-ab22-4e0c-80ae-e04a4545d048 · outbound

This paper cites AdapterSoup: Weight averaging to improve generalization of pretrained language models.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA AdapterSoup: Weight averaging to improve generalization of pretrained language models

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This paper cites Describing textures in the wild.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Describing textures in the wild

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This paper cites Qlora: Efficient finetuning of quantized llms.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Qlora: Efficient finetuning of quantized llms

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This paper cites Parameter competition balancing for model merging.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Parameter competition balancing for model merging

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This paper cites Online robust pca via stochastic optimization.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Online robust pca via stochastic optimization

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This paper cites Online robust PCA via stochastic optimization.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Online robust PCA via stochastic optimization

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This paper cites Mixture-of-loras: An efficient multitasktuningmethodforlargelanguagemodels.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Mixture-of-loras: An efficient multitasktuningmethodforlargelanguagemodels

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This paper cites MRQA 2019 shared task: Evaluating generalization in reading comprehension.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA MRQA 2019 shared task: Evaluating generalization in reading comprehension

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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This paper cites Godec+: Fast and robust low-rank matrix decomposition based on maximum correntropy.IEEE Trans.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Godec+: Fast and robust low-rank matrix decomposition based on maximum correntropy.IEEE Trans

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This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.IEEE J.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.IEEE J

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This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

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This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

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This paper cites Fedqlora: Federated quantization- aware lora for large language models.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Fedqlora: Federated quantization- aware lora for large language models

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This paper cites EMR-merging: Tuning- free high-performance model merging.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA EMR-merging: Tuning- free high-performance model merging

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This paper cites Editing models with task arithmetic.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Editing models with task arithmetic

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This paper cites Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning

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FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Fedexp: Speeding up federated averaging via extrapolation

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This paper cites Promoting data and model privacy in federated learning through quantized LoRA.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Promoting data and model privacy in federated learning through quantized LoRA

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This paper cites Dataless knowledge fusion by merg- ing weights of language models.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Dataless knowledge fusion by merg- ing weights of language models

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This paper cites Advances and open problems in federated learning.Foundations and trends®in machine learning, 14(1–2):1–210, 2021.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Advances and open problems in federated learning.Foundations and trends®in machine learning, 14(1–2):1–210, 2021

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This paper cites Reddi, Sebastian U.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Reddi, Sebastian U

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FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Segment anything

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FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA 3d object representations for fine-grained categorization

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This paper cites Federated LoRA with Sparse Communication.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Federated LoRA with Sparse Communication

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This paper cites Newsweeder: Learning to filter netnews.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Newsweeder: Learning to filter netnews

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This paper cites Model-contrastive federated learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Model-contrastive federated learning

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This paper cites Federated optimization in heterogeneous networks.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Federated optimization in heterogeneous networks

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This paper cites Differentially private low-rank adaptation of large language model using federated learning.ACM Transactions on Management Information Systems, 16(2):1–24, 2025.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Differentially private low-rank adaptation of large language model using federated learning.ACM Transactions on Management Information Systems, 16(2):1–24, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.818465Z

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This paper cites A survey on lora of large language models.Frontiers of Computer Science, 19(7):197605, 2025.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA A survey on lora of large language models.Frontiers of Computer Science, 19(7):197605, 2025

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This paper cites Merging models with fisher-weighted averaging.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Merging models with fisher-weighted averaging

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.794121Z

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This paper cites Merging models with fisher-weighted averaging.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Merging models with fisher-weighted averaging

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

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Communication-efficient learning of deep networks from decentralized data

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FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Unresolved cited work

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FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Unresolved cited work

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This paper cites DINOv2: Learning Robust Visual Features without Supervision.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA DINOv2: Learning Robust Visual Features without Supervision

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a1ec262-d515-442b-9e1a-040153a633e4 · outbound

This paper cites FedPFT: Federated Proxy Fine-Tuning of Foundation Models.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA FedPFT: Federated Proxy Fine-Tuning of Foundation Models

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:57:26.003087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5e36850-3f64-41af-ba85-58eb4c6a506f · outbound

This paper cites LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.212897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58961e33-ac91-4cc2-b830-741ac29c11d9 · outbound

This paper cites FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.218174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7ed9f3-8e8a-4479-aca7-bf57ff4aeb70 · outbound

This paper cites Learning transferable visual models from natural language supervision.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Learning transferable visual models from natural language supervision

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.223161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 960e1f7e-3be8-4acd-ad58-1b6fb637d571 · outbound

This paper cites Learning transferable visual models from natural language supervision.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Learning transferable visual models from natural language supervision

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.712959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 36f52b68-cfce-43e0-8a4b-c7b3cec00a00 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.231364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7579f48f-c854-402e-b1c7-7497a3dc58b5 · outbound

This paper cites an unresolved cited work.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.235201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab9101cd-38b7-425c-bfa7-341b8fd39d5d · outbound

This paper cites Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konečný, Sanjiv Kumar, and Hugh Brendan McMahan.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konečný, Sanjiv Kumar, and Hugh Brendan McMahan

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.672866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bfbeb8ab-3143-4ed5-b2d1-c46a8ac1d9ac · outbound

This paper cites Code Llama: Open Foundation Models for Code.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Code Llama: Open Foundation Models for Code

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.245396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c54a1220-0047-47d2-ad78-b3ee0d9fe2d7 · outbound

This paper cites Closed-form merging of parameter-efficient modules for federated continual learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Closed-form merging of parameter-efficient modules for federated continual learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.655857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60c0e721-d2b0-4fc1-8393-bbefec95ddc3 · outbound

This paper cites Ziplora: Any subject in any style by effectively merging loras.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Ziplora: Any subject in any style by effectively merging loras

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.636750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50079239-31be-4879-99ad-a508411f4fe6 · outbound

This paper cites LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.263745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2311a79-6793-4917-b9db-c5273e2884cf · outbound

This paper cites Gonzalez, and Ion Stoica.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Gonzalez, and Ion Stoica

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.619169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e3704a03-ff96-45e0-9e67-a1f2b0f0934d · outbound

This paper cites Fed- sb: A silver bullet for extreme communication efficiency and performance in (private) federated lora fine-tuning.arXiv preprint arXiv:2502.15436, 2025.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Fed- sb: A silver bullet for extreme communication efficiency and performance in (private) federated lora fine-tuning.arXiv preprint arXiv:2502.15436, 2025

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.273427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b698605-9db9-4d3b-bea8-1affb7ff7e2f · outbound

This paper cites Fedex-loRA: Exact aggregation for federated parameter-efficient fine-tuning of foundation models.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Fedex-loRA: Exact aggregation for federated parameter-efficient fine-tuning of foundation models

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.604558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation caaa49c7-0dab-4106-be39-6eba55f69a3d · outbound

This paper cites Improving loRA in privacy-preserving federated learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Improving loRA in privacy-preserving federated learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.589082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 784fe150-94dc-4a91-ab4d-2371c0c54148 · outbound

This paper cites Improving lora in privacy-preserving federated learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Improving lora in privacy-preserving federated learning

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.573171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d61a98b4-f2e5-46c7-8fc2-9cf34e83cb62 · outbound

This paper cites Merging multi-task models via weight-ensembling mixture of experts.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Merging multi-task models via weight-ensembling mixture of experts

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.558218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c819615-acc5-498c-b613-a858c8820afa · outbound

This paper cites Parameter- efficient multi-task model fusion with partial linearization.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Parameter- efficient multi-task model fusion with partial linearization

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.543113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8df55f2c-e61b-434c-9c14-b54b47a7457b · outbound

This paper cites Task Arithmetic Through The Lens Of One-Shot Federated Learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Task Arithmetic Through The Lens Of One-Shot Federated Learning

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:57:25.798745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0bb1cd62-d518-48ff-8cb3-c19cc8d5cfd5 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA LLaMA: Open and Efficient Foundation Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.318596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb62dece-3c9c-4886-9d73-c9cee7d733c9 · outbound

This paper cites Robust subspace learning: Robust pca, robust subspace tracking, and robust subspace recovery.IEEE signal processing magazine, 35(4):32–55, 2018.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Robust subspace learning: Robust pca, robust subspace tracking, and robust subspace recovery.IEEE signal processing magazine, 35(4):32–55, 2018

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.528093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91a7d04c-140a-4fab-8eb9-729384a32fa2 · outbound

This paper cites LoRA-flow: Dynamic LoRA fusion for large language models in generative tasks.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA LoRA-flow: Dynamic LoRA fusion for large language models in generative tasks

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.513879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42f17d84-4730-4705-bbcb-b70f210e8cc9 · outbound

This paper cites Lo- calizing task information for improved model merging and compression.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Lo- calizing task information for improved model merging and compression

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.498930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a73c8438-99ff-47f1-bdf2-23dbc3e729af · outbound

This paper cites Federated fine-tuning for pre-trained foundation models over wireless networks.IEEE Transactions on Wireless Communications, 2025.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Federated fine-tuning for pre-trained foundation models over wireless networks.IEEE Transactions on Wireless Communications, 2025

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.485276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea55f1b6-22e4-4a8d-ac6b-ca3ea4b5b902 · outbound

This paper cites FLoRA: Federated fine-tuning large language models with heterogeneous low-rank adaptations.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA FLoRA: Federated fine-tuning large language models with heterogeneous low-rank adaptations

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.470596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d16a07bb-5d26-4a45-aae6-f3db5fc11ac7 · outbound

This paper cites One communication round is all it needs for federated fine-tuning foundation models.arXiv preprint arXiv:2412.04650, 2024.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA One communication round is all it needs for federated fine-tuning foundation models.arXiv preprint arXiv:2412.04650, 2024

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.352651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0942ffa2-0f24-45c1-901d-8e5e670db7c7 · outbound

This paper cites Federated fine-tuning of llms on the very edge: The good, the bad, the ugly.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Federated fine-tuning of llms on the very edge: The good, the bad, the ugly

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.454133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1ee6ff4-acd6-467b-8651-b8ed35673f83 · outbound

This paper cites Mixture of lora experts.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Mixture of lora experts

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.435176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1c833cdd-412e-4f0a-84ba-8fe929479030 · outbound

This paper cites Robust pca via outlier pursuit.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Robust pca via outlier pursuit

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.419980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 299ae43c-65a7-4c7a-85ab-7b16d8ccce2e · outbound

This paper cites Raffel, and Mohit Bansal.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Raffel, and Mohit Bansal

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.405816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35d19ffb-2b13-4705-a085-906a1714692c · outbound

This paper cites Qwen2.5 Technical Report.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Qwen2.5 Technical Report

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.385206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4b199be-b024-441d-bd39-c35a0f42e869 · outbound

This paper cites Representation surgery for multi-task model merging.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Representation surgery for multi-task model merging

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.390515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2b702ae9-984b-4151-8491-891d4c0dd335 · outbound

This paper cites Adamerging: Adaptive model merging for multi-task learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Adamerging: Adaptive model merging for multi-task learning

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.373482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a633213c-c230-482b-aae9-eb98b2c9f042 · outbound

This paper cites SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:57:25.527114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0047f39b-76cf-4c92-9bc7-602f9159a942 · outbound

This paper cites pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.407448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ea380f6-5e51-45a8-b877-f1c422bc3759 · outbound

This paper cites Language models are super mario: Absorbing abilities from homologous models as a free lunch.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Language models are super mario: Absorbing abilities from homologous models as a free lunch

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.412108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ddac4c-9b67-44c6-9668-ea58ab61e468 · outbound

This paper cites Towards building the federatedgpt: Federated instruction tuning.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Towards building the federatedgpt: Federated instruction tuning

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.345969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4f4b4af-b6f7-410a-8ee7-cbc452d4f443 · outbound

This paper cites Composing parameter-efficient modules with arithmetic operation.Advances in Neural Information Processing Systems, 36:12589–12610, 2023.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Composing parameter-efficient modules with arithmetic operation.Advances in Neural Information Processing Systems, 36:12589–12610, 2023

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.327597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 513aebc0-52a2-4871-a2e1-c220f7e9e37e · outbound

This paper cites Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.424045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ac2a2a-9950-4413-9ee2-386e6694375e · outbound

This paper cites rest-of-the-world.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA rest-of-the-world

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.307129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62e0df7c-800a-4609-a4ff-9c3158979b47 · outbound

This paper cites " " De co mp ose D into low - rank L and sparse S ( M = L + S ).

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA " " De co mp ose D into low - rank L and sparse S ( M = L + S )

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:26.287963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39fbd0b4-980c-4307-8d51-3f931c185b9d · outbound

This paper cites an unresolved cited work.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Unresolved cited work

Reference 2013

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:27.099281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers