Tackling Data Heterogeneity in Federated Time Series Forecasting | Paper Citation Record

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This paper cites Towards long-term time-series forecasting: Feature, pattern, and distribution,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Towards long-term time-series forecasting: Feature, pattern, and distribution,

Reference 1

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This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 2

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This paper cites itrans- former: Inverted transformers are effective for time series forecasting,.

Tackling Data Heterogeneity in Federated Time Series Forecasting itrans- former: Inverted transformers are effective for time series forecasting,

Reference 3

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This paper cites Attention is all you need,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Attention is all you need,

Reference 4

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This paper cites Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.

Tackling Data Heterogeneity in Federated Time Series Forecasting Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures

Reference 5

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This paper cites Are transformers effective for time series forecasting?.

Tackling Data Heterogeneity in Federated Time Series Forecasting Are transformers effective for time series forecasting?

Reference 6

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This paper cites Tsmixer: An all-mlp architecture for time series forecast-ing,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Tsmixer: An all-mlp architecture for time series forecast-ing,

Reference 7

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This paper cites Smart meter data privacy: A survey,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Smart meter data privacy: A survey,

Reference 8

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

Tackling Data Heterogeneity in Federated Time Series Forecasting Communication-efficient learning of deep networks from decentralized data,

Reference 9

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This paper cites Federated learning on non-iid data silos: An experimental study,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Federated learning on non-iid data silos: An experimental study,

Reference 10

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This paper cites Heterogeneous feder- ated learning: State-of-the-art and research challenges,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Heterogeneous feder- ated learning: State-of-the-art and research challenges,

Reference 11

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This paper cites Dataset distillation by matching training trajectories,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Dataset distillation by matching training trajectories,

Reference 12

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This paper cites Dataset distillation: A comprehensive re- view,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Dataset distillation: A comprehensive re- view,

Reference 13

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This paper cites Graph Condensation: A Survey.

Tackling Data Heterogeneity in Federated Time Series Forecasting Graph Condensation: A Survey

Reference 14

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This paper cites Federated Learning via Synthetic Data.

Tackling Data Heterogeneity in Federated Time Series Forecasting Federated Learning via Synthetic Data

Reference 15

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This paper cites Feddm: Iterative distribution matching for communication-efficient federated learning,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Feddm: Iterative distribution matching for communication-efficient federated learning,

Reference 16

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This paper cites Meta knowledge condensation for fed- erated learning,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Meta knowledge condensation for fed- erated learning,

Reference 17

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This paper cites An aggregation-free federated learning for tackling data heterogeneity,.

Tackling Data Heterogeneity in Federated Time Series Forecasting An aggregation-free federated learning for tackling data heterogeneity,

Reference 18

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This paper cites Robust time series analysis and applications: An industrial perspective,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Robust time series analysis and applications: An industrial perspective,

Reference 19

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This paper cites Forecasting covid-19 dynamics: Clustering, generalized spatiotemporal attention, and impacts of mobility and geographic proximity,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Forecasting covid-19 dynamics: Clustering, generalized spatiotemporal attention, and impacts of mobility and geographic proximity,

Reference 20

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This paper cites Prompt federated learning for weather forecasting: toward foundation models on meteorological data,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Prompt federated learning for weather forecasting: toward foundation models on meteorological data,

Reference 21

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Observation d8167227-3d8d-4deb-b526-18cefe3babdc · outbound

This paper cites Deep learning for time series forecasting: Tutorial and literature survey,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Deep learning for time series forecasting: Tutorial and literature survey,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.469742Z

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This paper cites Distribution of residual autocorrelations in autoregressive-integrated moving average time series models,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Distribution of residual autocorrelations in autoregressive-integrated moving average time series models,

Reference 23

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This paper cites Exponential smoothing: The state of the art,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Exponential smoothing: The state of the art,

Reference 24

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This paper cites Forecasting, structural time series models and the kalman filter,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Forecasting, structural time series models and the kalman filter,

Reference 25

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This paper cites Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Fundamentals of recurrent neural network (rnn) and long short-term memory (lstm) network,

Reference 26

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This paper cites Introduction to convolutional neural networks,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Introduction to convolutional neural networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.413484Z

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Observation 8d289ec6-1819-4e6f-b711-7940abf7cf4c · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Modeling long-and short-term temporal patterns with deep neural networks,

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This paper cites Temporal pattern attention for multivariate time series forecasting,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Temporal pattern attention for multivariate time series forecasting,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.391562Z

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Observation d7a85ea4-d5e1-43d5-b980-cb4391d7b064 · outbound

This paper cites Transformers in time series: a survey,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Transformers in time series: a survey,

Reference 30

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Observation 16f01740-4d69-49bc-b558-c7c8021bbf47 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,

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Tackling Data Heterogeneity in Federated Time Series Forecasting Argument discovery via crowdsourcing,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.358537Z

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Observation 9ff9195d-b348-4998-be40-c861d45ec951 · outbound

This paper cites Federated unlearning for on-device recommendation,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Federated unlearning for on-device recommendation,

Reference 33

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Tackling Data Heterogeneity in Federated Time Series Forecasting Hetefedrec: Federated recommender systems with model heterogeneity,

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Observation a920a718-0b00-4a03-b9ae-a32f4ad8aa26 · outbound

This paper cites Hide your model: A parameter transmission-free federated recommender system,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Hide your model: A parameter transmission-free federated recommender system,

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This paper cites Manip- ulating visually aware federated recommender systems and its counter- measures,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Manip- ulating visually aware federated recommender systems and its counter- measures,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.316188Z

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Observation 2ba18cc2-e78b-40b2-8fa2-fb8e3f15ad52 · outbound

This paper cites Federated machine learning: Concept and applications,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Federated machine learning: Concept and applications,

Reference 37

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This paper cites Overcoming data sparsity in group recommendation,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Overcoming data sparsity in group recommendation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.293994Z

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Observation 6ca1206e-a23b-4ef7-867f-653aa9654d2b · outbound

This paper cites Exploiting shared representations for personalized federated learning,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Exploiting shared representations for personalized federated learning,

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Observation 652045c3-f03f-43d3-8add-7d28c5cb19ba · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Ensemble distillation for robust model fusion in federated learning,

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This paper cites Fedbe: Making bayesian model ensemble applicable to federated learning,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Fedbe: Making bayesian model ensemble applicable to federated learning,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.266087Z

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This paper cites Feddg: Federated do- main generalization on medical image segmentation via episodic learn- ing in continuous frequency space,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Feddg: Federated do- main generalization on medical image segmentation via episodic learn- ing in continuous frequency space,

Reference 42

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Observation a2b54d10-246f-4303-8fe4-27e56cb92160 · outbound

This paper cites Fedmix: Approximation of mixup under mean augmented federated learning,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Fedmix: Approximation of mixup under mean augmented federated learning,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.237278Z

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Observation fbfdc417-17fa-4d59-9f0f-99c3e39f4fa2 · outbound

This paper cites Federated optimization in heterogeneous networks,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Federated optimization in heterogeneous networks,

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This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Scaffold: Stochastic controlled averaging for federated learn- ing,

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This paper cites Federated Learning Based on Dynamic Regularization.

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

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This paper cites Elastic aggregation for federated optimization,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Elastic aggregation for federated optimization,

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Observation a3ecde36-1bd7-45f3-927e-400c8792d772 · outbound

This paper cites Fair federated learning under domain skew with local consistency and domain diversity,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Fair federated learning under domain skew with local consistency and domain diversity,

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Observation bf4f6bd0-acc7-4629-9098-317d5423a8b6 · outbound

This paper cites Distilled One-Shot Federated Learning.

Tackling Data Heterogeneity in Federated Time Series Forecasting Distilled One-Shot Federated Learning

Reference 49

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Observation 586a55c5-10b3-4880-a97e-6ee4ce2bf472 · outbound

This paper cites Fedsynth: Gradient compression via synthetic data in federated learning,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Fedsynth: Gradient compression via synthetic data in federated learning,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.176273Z

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Observation 88cb9065-a905-4c6a-8b13-17081056ed99 · outbound

This paper cites Dense: Data-free one-shot federated learning,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Dense: Data-free one-shot federated learning,

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This paper cites Keyword-aware continuous knn query on road networks,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Keyword-aware continuous knn query on road networks,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.155611Z

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Observation 2ddb2cd2-872b-446c-81ed-b688ae077f69 · outbound

This paper cites Enhancing one- shot federated learning through data and ensemble co-boosting,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Enhancing one- shot federated learning through data and ensemble co-boosting,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.143130Z

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Observation 5ad38445-ca06-48b8-8d5c-228d2fb837f3 · outbound

This paper cites Dynafed: Tackling client data heterogeneity with global dynamics,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Dynafed: Tackling client data heterogeneity with global dynamics,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:03:13.127934Z

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Observation f1cabc09-762a-4037-b2e5-4ef191dd3c6f · outbound

This paper cites Computing crowd consensus with partial agreement,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Computing crowd consensus with partial agreement,

Reference 55

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Observation 936bb24f-e36b-4aa1-a3ad-cd6ce440f44b · outbound

This paper cites Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting.

Tackling Data Heterogeneity in Federated Time Series Forecasting Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting

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Resolution: unresolved; no resolver link, observed 2026-08-12T14:03:12.831645Z

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Observation 27202d80-0d3b-4188-9012-22754d42a365 · outbound

This paper cites A federated large language model for long-term time series forecasting.

Tackling Data Heterogeneity in Federated Time Series Forecasting A federated large language model for long-term time series forecasting

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This paper cites Multi- participant vertical federated learning based time series prediction,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Multi- participant vertical federated learning based time series prediction,

Reference 58

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This paper cites Dataset Condensation with Gradient Matching.

Tackling Data Heterogeneity in Federated Time Series Forecasting Dataset Condensation with Gradient Matching

Reference 59

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Tackling Data Heterogeneity in Federated Time Series Forecasting Dataset distillation using parameter pruning,

Reference 60

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This paper cites Minimizing the accu- mulated trajectory error to improve dataset distillation,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Minimizing the accu- mulated trajectory error to improve dataset distillation,

Reference 61

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This paper cites A comprehensive survey of privacy- preserving federated learning: A taxonomy, review, and future direc- tions,.

Tackling Data Heterogeneity in Federated Time Series Forecasting A comprehensive survey of privacy- preserving federated learning: A taxonomy, review, and future direc- tions,

Reference 62

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This paper cites On the importance of initialization and momentum in deep learning,.

Tackling Data Heterogeneity in Federated Time Series Forecasting On the importance of initialization and momentum in deep learning,

Reference 63

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This paper cites Adam: A Method for Stochastic Optimization.

Tackling Data Heterogeneity in Federated Time Series Forecasting Adam: A Method for Stochastic Optimization

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This paper cites Comprehensive privacy analysis on federated recommender system against attribute inference attacks,.

Tackling Data Heterogeneity in Federated Time Series Forecasting Comprehensive privacy analysis on federated recommender system against attribute inference attacks,

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