On the Convergence of FedAvg on Non-IID Data | Paper Citation Record

Observation 384a126a-dcfd-4585-adbb-4d588cdf2c42 · inbound

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

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification On the Convergence of FedAvg on Non-IID Data

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:37:07.759024Z

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Observation 301f2ed5-8f37-42c8-a6ff-13f43846a921 · inbound

Adaptive Federated Optimization cites this paper.

Adaptive Federated Optimization On the Convergence of FedAvg on Non-IID Data

Reference 227

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:30:58.847737Z

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Observation 24c81ebb-777b-4d5f-9b6a-e6934abc7783 · inbound

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning cites this paper.

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 23

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Observation 7024699c-2441-477c-9658-ba7f0f36434c · inbound

RoadFed: A Multimodal Federated Learning System for Improving Road Safety cites this paper.

RoadFed: A Multimodal Federated Learning System for Improving Road Safety On the Convergence of FedAvg on Non-IID Data

Reference 52

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Observation 02f2599e-baf8-4bd5-a8bc-d366c63f0d3e · 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 On the Convergence of FedAvg on Non-IID Data

Reference 28

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Observation 1d8e0ebc-653d-4607-a04a-bba9cbe494dc · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models On the Convergence of FedAvg on Non-IID Data

Reference 50

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Observation f070e04b-0894-48d8-bc3a-6b28ba13a1ff · inbound

Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning cites this paper.

Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 9

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Observation 16ca3a84-8cc7-46a8-861e-f6ec12da6982 · inbound

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling cites this paper.

Adaptive Federated LoRA in Heterogeneous Wireless Networks with Independent Sampling On the Convergence of FedAvg on Non-IID Data

Reference 20

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Observation b5508f8c-5a14-4e94-aed4-369ef51b8e41 · 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 On the Convergence of FedAvg on Non-IID Data

Reference 15

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Observation db228774-a684-40bb-ba5a-0d20f10916a0 · inbound

Communication Efficient Adaptive Model-Driven Quantum Federated Learning cites this paper.

Communication Efficient Adaptive Model-Driven Quantum Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 17

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Observation fbe718a3-98ac-4528-81d8-1473ea8bbfd0 · inbound

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning cites this paper.

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 2

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Observation e4de581e-d3fc-4b10-847f-950026a9f02f · inbound

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation cites this paper.

FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation On the Convergence of FedAvg on Non-IID Data

Reference 8

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Observation 720f261d-2c49-4abd-84f4-489b82148057 · inbound

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction cites this paper.

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction On the Convergence of FedAvg on Non-IID Data

Reference 32

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Observation 302f1bd6-c08c-4d1c-8a5e-21cdd8ad2efe · inbound

Cooperative Gradient Coding cites this paper.

Cooperative Gradient Coding On the Convergence of FedAvg on Non-IID Data

Reference 31

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Observation 7ccf0d8f-0c09-4b35-8d09-f785073ee22a · inbound

Adaptive collaboration for online personalized distributed learning with heterogeneous clients cites this paper.

Adaptive collaboration for online personalized distributed learning with heterogeneous clients On the Convergence of FedAvg on Non-IID Data

Reference 22

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Observation 391499c6-42bd-4188-8138-542e032d83d5 · inbound

SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation cites this paper.

SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation On the Convergence of FedAvg on Non-IID Data

Reference 34

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Observation cde5e71e-f84b-4d74-9203-f415df7fdf13 · inbound

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift cites this paper.

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift On the Convergence of FedAvg on Non-IID Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:24:51.179072Z

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Observation 27e2bfd0-cbbb-4b24-914f-3bb9625c300a · inbound

Federated Learning for Commercial Image Sources cites this paper.

Federated Learning for Commercial Image Sources On the Convergence of FedAvg on Non-IID Data

Reference 26

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Observation 02cdf4fd-4b7e-4c24-a8c9-9d00e5ae82b2 · inbound

On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation cites this paper.

On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation On the Convergence of FedAvg on Non-IID Data

Reference 25

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Observation 81f321b7-346e-4629-a60e-1e27f64def33 · inbound

Federated Learning Enhanced by Feature Reconstruction for Semantic Communication Module Updates of Agents cites this paper.

Federated Learning Enhanced by Feature Reconstruction for Semantic Communication Module Updates of Agents On the Convergence of FedAvg on Non-IID Data

Reference 17

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Observation 4e5f93fc-236d-4796-a4fa-1bf8ddd00f45 · inbound

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields cites this paper.

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields On the Convergence of FedAvg on Non-IID Data

Reference 39

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Observation 706532b4-62ca-4de1-8043-f68dc45662e9 · inbound

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions cites this paper.

Discerning and quantifying high frequency activities in EEG under normal and epileptic conditions On the Convergence of FedAvg on Non-IID Data

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T19:21:36.441557Z

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Observation 2e948c66-05ad-46a3-9f29-b61f71aae9dd · inbound

When Secure Aggregation Falls Short: Achieving Long-Term Privacy in Asynchronous Federated Learning for LEO Satellite Networks cites this paper.

When Secure Aggregation Falls Short: Achieving Long-Term Privacy in Asynchronous Federated Learning for LEO Satellite Networks On the Convergence of FedAvg on Non-IID Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:06.219541Z

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Observation fd47e051-1057-4d75-a3ef-4db47b817aa3 · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives On the Convergence of FedAvg on Non-IID Data

Reference 119

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Observation fb5db690-b85a-4b16-ad2d-50051d12bb6f · inbound

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

Degree of Staleness-Aware Data Updating in Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T17:10:25.040749Z

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Observation 929150fa-4522-45af-afb5-afbe066fb7ec · inbound

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization cites this paper.

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization On the Convergence of FedAvg on Non-IID Data

Reference 25

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Observation 9582e354-f514-4f5a-920c-f0ff9284b576 · inbound

Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization cites this paper.

Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization On the Convergence of FedAvg on Non-IID Data

Reference 12

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Observation b34bf563-eede-4989-a502-8f1946d2232f · inbound

Energy-Efficient Federated Learning with Relay-Assisted Aggregation in IIoT Networks cites this paper.

Energy-Efficient Federated Learning with Relay-Assisted Aggregation in IIoT Networks On the Convergence of FedAvg on Non-IID Data

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:40:29.183924Z

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Observation 389fb870-4155-41a5-8f4a-8234fd02006f · inbound

Achieving Linear Speedup for Composite Federated Learning cites this paper.

Achieving Linear Speedup for Composite Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 16

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Observation ad3bd8f1-5e8d-41e9-9ed5-6780b3adddfd · inbound

Decentralized Federated Learning by Partial Message Exchange cites this paper.

Decentralized Federated Learning by Partial Message Exchange On the Convergence of FedAvg on Non-IID Data

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T19:44:14.314881Z

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Observation 17a384b6-5ab1-448b-8cee-d541d7d7a9a7 · inbound

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge cites this paper.

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge On the Convergence of FedAvg on Non-IID Data

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:30:51.363836Z

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Observation a7cb4a54-bc81-4604-b2f3-47d4a11052f6 · inbound

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs cites this paper.

DP-FlogTinyLLM: Differentially private federated log anomaly detection using Tiny LLMs On the Convergence of FedAvg on Non-IID Data

Reference 114

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T02:53:29.798795Z

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Observation 3c90f5c8-9934-4456-a562-5c599ffc1737 · inbound

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning cites this paper.

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning On the Convergence of FedAvg on Non-IID Data

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.201305Z

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Observation 3f18f337-f608-41fb-88ff-b25cf41b2de8 · inbound

AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning cites this paper.

AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:36:26.295146Z

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Observation d0e068e0-fef1-405d-bd43-b6497bb82af6 · inbound

FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training cites this paper.

FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training On the Convergence of FedAvg on Non-IID Data

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:31:07.339958Z

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Observation 6b2e5792-3607-4150-ade8-d9a738b0b7a3 · inbound

FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference cites this paper.

FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference On the Convergence of FedAvg on Non-IID Data

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:11:18.892031Z

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Observation bdad16a0-4ff6-4740-8985-2fe14a233d7d · inbound

FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning cites this paper.

FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:26.620736Z

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Observation f9664dfd-3702-480e-9a0c-59d801858d48 · inbound

Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs cites this paper.

Beyond Parameter Aggregation: Semantic Consensus for Federated Fine-Tuning of LLMs On the Convergence of FedAvg on Non-IID Data

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:32:24.768168Z

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Observation 5d854388-d555-4573-b21e-e80f64ef265c · inbound

ISAC for AI: A Trade-off Framework Across Data Acquisition and Transfer in Federated Learning cites this paper.

ISAC for AI: A Trade-off Framework Across Data Acquisition and Transfer in Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:22:18.967860Z

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Observation f4371095-58cd-4f14-9add-c646f5b213fc · inbound

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity cites this paper.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity On the Convergence of FedAvg on Non-IID Data

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:32:51.090737Z

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Observation 001424c7-df9f-46f1-8dfc-4f0d690743eb · inbound

Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning cites this paper.

Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:03:08.762116Z

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Observation 73a291bd-b150-4b12-acc5-4167d617ca53 · inbound

Distributed Direct Preference Optimization cites this paper.

Distributed Direct Preference Optimization On the Convergence of FedAvg on Non-IID Data

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T05:59:40.949493Z

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Observation 02988ad5-e00e-44ae-be97-573568d0dfbe · inbound

FIRMA: FIbonacci Ring Model Aggregation for Privacy-preserving Federated Learning cites this paper.

FIRMA: FIbonacci Ring Model Aggregation for Privacy-preserving Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:36:40.185722Z

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Observation 7e7f148e-b8ba-40b9-bcfd-0e245d918d97 · inbound

Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis cites this paper.

Nonlinear Data Integration via Kernel Methods for Data Collaboration Analysis On the Convergence of FedAvg on Non-IID Data

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:33:50.318654Z

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Observation bb2d9f7e-d530-4272-a964-2aaf04b12207 · inbound

Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks cites this paper.

Bandwidth Allocation with Device Partitioning for Federated Learning over Industrial IoT networks On the Convergence of FedAvg on Non-IID Data

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:50.385124Z

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Observation df55eded-3ae2-4fc4-b156-095a1ab46610 · inbound

Demystifying the Optimal Fair Classifier in Multi-Class Classification cites this paper.

Demystifying the Optimal Fair Classifier in Multi-Class Classification On the Convergence of FedAvg on Non-IID Data

Reference 146

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:52:35.658628Z

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Observation 0140a735-c3ee-445f-9fce-26d232c4bd1d · inbound

FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment cites this paper.

FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment On the Convergence of FedAvg on Non-IID Data

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:15.789703Z

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Observation f218c47e-53ce-4d14-a863-96a48e9ccc54 · inbound

QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning cites this paper.

QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:15.714872Z

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Observation 321f6908-befa-4d01-994c-d9e5a5b107fb · inbound

Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning cites this paper.

Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.735724Z

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Observation be2e4e6e-1377-420a-9649-3f43baa605dc · inbound

From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning cites this paper.

From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:17:42.610716Z

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Observation b8ddb80f-596a-46b1-983c-90a7dffd2234 · inbound

Sensing-Native Over-the-Air Federated Learning cites this paper.

Sensing-Native Over-the-Air Federated Learning On the Convergence of FedAvg on Non-IID Data

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:28:48.831712Z

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Observation 969bba51-123a-4584-bc87-10d10af3f286 · 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 On the Convergence of FedAvg on Non-IID Data

Reference 86

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Observation 645f4c88-3ff1-4a55-97e3-92d42571df5c · inbound

Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networks cites this paper.

Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networks On the Convergence of FedAvg on Non-IID Data

Reference 8

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Robust Federated Learning Under Real-World Client Churn cites this paper.

Robust Federated Learning Under Real-World Client Churn On the Convergence of FedAvg on Non-IID Data

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