Federated Learning Based on Dynamic Regularization | Paper Citation Record

Observation 4e594fce-65a4-43f9-b0f3-4779222eefdb · inbound

F$^3$OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics cites this paper.

F$^3$OCUS -- Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics Federated Learning Based on Dynamic Regularization

Reference 2

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Observation e48c1e3a-0503-4612-b01f-8445bfca4f5d · inbound

Tackling Data Heterogeneity in Federated Time Series Forecasting cites this paper.

Tackling Data Heterogeneity in Federated Time Series Forecasting Federated Learning Based on Dynamic Regularization

Reference 46

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Observation 4f01a4c5-6bc0-4bd3-ac8f-ab91d7cc3711 · inbound

Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation cites this paper.

Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation Federated Learning Based on Dynamic Regularization

Reference 1

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Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning cites this paper.

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning Federated Learning Based on Dynamic Regularization

Reference 3

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FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning cites this paper.

FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning Federated Learning Based on Dynamic Regularization

Reference 4

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Observation 91543bcb-809d-4c17-9e1c-266965288391 · inbound

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift cites this paper.

Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift Federated Learning Based on Dynamic Regularization

Reference 22

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Observation 2e78a588-f7ce-4717-9b1f-2a5e8fb4bfd8 · inbound

Federated Learning with Sample-level Client Drift Mitigation cites this paper.

Federated Learning with Sample-level Client Drift Mitigation Federated Learning Based on Dynamic Regularization

Reference 4

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Observation 8651b59d-4afd-4872-abe0-3c794c14d953 · inbound

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning cites this paper.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Federated Learning Based on Dynamic Regularization

Reference 21

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Observation 85c69d0e-624c-4efc-ae3a-b816ae03ccb1 · inbound

Federated Continual Learning: Concepts, Challenges, and Solutions cites this paper.

Federated Continual Learning: Concepts, Challenges, and Solutions Federated Learning Based on Dynamic Regularization

Reference 172

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Observation b205056e-e0e6-48a2-832b-a6f6d1a480f5 · inbound

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction cites this paper.

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction Federated Learning Based on Dynamic Regularization

Reference 37

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Observation 841f5fe2-98b5-42f3-99a1-918e04facc20 · inbound

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning cites this paper.

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Federated Learning Based on Dynamic Regularization

Reference 19

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Observation ce10a6d6-9af6-42a9-b21c-bddfa6a0fec8 · inbound

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning cites this paper.

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning Federated Learning Based on Dynamic Regularization

Reference 30

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Observation 3e358ecf-78c7-417d-9ceb-ba58dc00f4e4 · inbound

FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing cites this paper.

FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing Federated Learning Based on Dynamic Regularization

Reference 32

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Observation 6ff7f45d-ba12-4fb4-bc5d-303b0df74fa9 · inbound

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments cites this paper.

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments Federated Learning Based on Dynamic Regularization

Reference 3

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Observation 9783d785-78d5-474f-9b27-d1ad534d8390 · inbound

Distributionally Robust Federated Learning with Client Drift Minimization cites this paper.

Distributionally Robust Federated Learning with Client Drift Minimization Federated Learning Based on Dynamic Regularization

Reference 22

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Observation cac5a2d5-0cf6-4f7c-9634-0c96c30bb052 · inbound

Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data cites this paper.

Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data Federated Learning Based on Dynamic Regularization

Reference 1

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Observation 00cecdae-f551-40ae-8cdf-3b9078a46ba6 · inbound

Label-shift robust federated feature screening for high-dimensional classification cites this paper.

Label-shift robust federated feature screening for high-dimensional classification Federated Learning Based on Dynamic Regularization

Reference 2

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Observation bf85a2fc-968e-48dc-aa60-63b7a38d3d07 · inbound

Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset cites this paper.

Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset Federated Learning Based on Dynamic Regularization

Reference 1

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Observation e0f3bf3d-0882-4b8c-a40d-bcd12b99ecdb · inbound

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity cites this paper.

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity Federated Learning Based on Dynamic Regularization

Reference 2

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Observation b6a85448-1fa7-4272-bd00-6744c36ec56f · inbound

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data cites this paper.

UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data Federated Learning Based on Dynamic Regularization

Reference 3

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Observation 8f3a80c1-e755-4a52-802c-2d2532da6506 · inbound

AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning cites this paper.

AFBS:Buffer Gradient Selection in Semi-asynchronous Federated Learning Federated Learning Based on Dynamic Regularization

Reference 36

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Observation 818b5c80-c9f3-43a4-97a4-069422bce59b · inbound

FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation cites this paper.

FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation Federated Learning Based on Dynamic Regularization

Reference 1

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Observation 8687a53b-0a8c-4d4e-9855-33111f3979ab · inbound

Distilling A Universal Expert from Clustered Federated Learning cites this paper.

Distilling A Universal Expert from Clustered Federated Learning Federated Learning Based on Dynamic Regularization

Reference 1

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Observation 7b541e1d-1ec0-4285-a6d8-c82ebf5db17b · inbound

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios cites this paper.

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

Reference 1

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Observation fdea6aa1-2d31-4282-a87a-51600b442fbc · inbound

Multi-Hop Privacy Propagation for Differentially Private Federated Learning in Social Networks cites this paper.

Multi-Hop Privacy Propagation for Differentially Private Federated Learning in Social Networks Federated Learning Based on Dynamic Regularization

Reference 1

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Observation 92e11ab8-45aa-43e8-8e81-4d6d1f371385 · inbound

Generalizable Federated Learning using Client Adaptive Focal Modulation cites this paper.

Generalizable Federated Learning using Client Adaptive Focal Modulation Federated Learning Based on Dynamic Regularization

Reference 2

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Observation bc7cc74f-20ae-4e8b-bd87-3a24dbeccef6 · inbound

Degree of Staleness-Aware Data Updating in Federated Learning cites this paper.

Degree of Staleness-Aware Data Updating in Federated Learning Federated Learning Based on Dynamic Regularization

Reference 1

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Observation 981b63d9-dce4-4062-a089-c9ffa4a07ca2 · inbound

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity cites this paper.

FedQuad: Federated Stochastic Quadruplet Learning to Mitigate Data Heterogeneity Federated Learning Based on Dynamic Regularization

Reference 21

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Observation 666066c3-01f8-47d6-bfa0-2d28a8723a80 · inbound

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis cites this paper.

Dissecting Federated-Graph Aggregation under Domain Shift: Importance-Aware Aggregation via Empirical Analysis Federated Learning Based on Dynamic Regularization

Reference 3

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Observation bf9411b0-2bed-4d1f-adc8-ddf616b6ec42 · inbound

Adaptive Federated Learning to Optimize Integrated Flows in Cyber-Physical Data Centers cites this paper.

Adaptive Federated Learning to Optimize Integrated Flows in Cyber-Physical Data Centers Federated Learning Based on Dynamic Regularization

Reference 26

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Observation 84882b99-0c2c-4905-939b-d7335afdac25 · inbound

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization cites this paper.

Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization Federated Learning Based on Dynamic Regularization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:59.574821Z

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Observation a734a6cb-a1f7-403d-ac43-8698f9ad9252 · inbound

Fed3D: Federated 3D Object Detection cites this paper.

Fed3D: Federated 3D Object Detection Federated Learning Based on Dynamic Regularization

Reference 23

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Observation 88c0810e-bee1-4755-b183-a5088032bf28 · inbound

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration cites this paper.

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration Federated Learning Based on Dynamic Regularization

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:13:52.795479Z

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Observation 1b44243f-8b5c-42f1-a0ad-98bc413747ce · inbound

FedFrozen: Two-Stage Federated Optimization via Attention Kernel Freezing cites this paper.

FedFrozen: Two-Stage Federated Optimization via Attention Kernel Freezing Federated Learning Based on Dynamic Regularization

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:01:19.593967Z

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Observation 5b7cf47c-df04-4b68-8b84-a2570942474b · inbound

Enhancing Federated Quadruplet Learning: Stochastic Client Selection and Embedding Stability Analysis cites this paper.

Enhancing Federated Quadruplet Learning: Stochastic Client Selection and Embedding Stability Analysis Federated Learning Based on Dynamic Regularization

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:40:53.898205Z

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Observation 9c5a1d01-eb76-4c7e-a7d3-58906b654c83 · inbound

Towards the Next Frontier of LLMs, Training on Private Data: A Cross-Domain Benchmark for Federated Fine-Tuning cites this paper.

Towards the Next Frontier of LLMs, Training on Private Data: A Cross-Domain Benchmark for Federated Fine-Tuning Federated Learning Based on Dynamic Regularization

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:59:45.867165Z

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Observation d09b97bb-419e-44b6-ac0f-697316e94bec · inbound

BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation cites this paper.

BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation Federated Learning Based on Dynamic Regularization

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:28:21.182271Z

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Observation a2a5db49-fba2-47e6-ae12-2aeb61f51cff · inbound

Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification cites this paper.

Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification Federated Learning Based on Dynamic Regularization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:58:58.238019Z

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Observation 2e6888b8-93f2-49f6-8e9d-0a3c5bc2d149 · inbound

FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity cites this paper.

FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity Federated Learning Based on Dynamic Regularization

Reference 91

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Observation 199996e5-2815-4b50-a96e-58046336491c · inbound

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning cites this paper.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Federated Learning Based on Dynamic Regularization

Reference 51

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Observation f78c08c5-4c3b-4fd7-a993-a42154dbcffc · inbound

FM$^2$: Unified Federated Foundation Models for Heterogeneous Multimodal Medical Imaging cites this paper.

FM$^2$: Unified Federated Foundation Models for Heterogeneous Multimodal Medical Imaging Federated Learning Based on Dynamic Regularization

Reference 1

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Observation 02f3892d-0ad5-44ff-b98b-5c84160d6ebd · inbound

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification cites this paper.

One Round Is All You Need: Analytic Federated Learning for Task-Heterogeneous Multi-Label Medical Image Classification Federated Learning Based on Dynamic Regularization

Reference 18

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Observation c08ff1dd-e206-4507-9347-70d44ea65b07 · inbound

TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement cites this paper.

TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement Federated Learning Based on Dynamic Regularization

Reference 16

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Observation afee60e4-ce7c-48ad-9e71-0ea6e75cd5ed · inbound

TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement cites this paper.

TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement Federated Learning Based on Dynamic Regularization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T01:42:10.423582Z

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Observation d422f517-a7a9-4382-8de2-e25d33d3020e · inbound

FL-OA: A Byzantine-Robust Federated Learning Framework with Outsourced Auditing for Intelligent Devices cites this paper.

FL-OA: A Byzantine-Robust Federated Learning Framework with Outsourced Auditing for Intelligent Devices Federated Learning Based on Dynamic Regularization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T15:18:39.976261Z

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Observation 06934989-31db-49c2-a423-11d5495153d9 · inbound

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning cites this paper.

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning Federated Learning Based on Dynamic Regularization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T21:03:54.443436Z

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