HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning | Paper Citation Record

Observation de5ac377-8f50-4757-a8cb-5516ceff3871 · outbound

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

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Communication-efficient learning of deep networks from decentralized data

Reference 1

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This paper cites URLhttps://proceedings.mlr.press/v54/mcmahan17a/mcmahan17a.pdf.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning URLhttps://proceedings.mlr.press/v54/mcmahan17a/mcmahan17a.pdf

Reference 2

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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.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Advances and open problems in federated learning.Foundations and trends in machine learning, 14(1-2):1–210, 2021

Reference 3

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Observation 7344b307-2582-4d53-bdea-92979c91540c · outbound

This paper cites Federated continual learning with weighted inter-client transfer.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Federated continual learning with weighted inter-client transfer

Reference 4

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Observation 22b2be8d-4306-4092-ba4b-f287c9b3b6cd · outbound

This paper cites Continual federated learning based on knowledge distillation.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Continual federated learning based on knowledge distillation

Reference 5

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This paper cites Federated continuous learning with broad network architecture.IEEE Transactions on Cybernetics, 51(8):3874–3888, 2021.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Federated continuous learning with broad network architecture.IEEE Transactions on Cybernetics, 51(8):3874–3888, 2021

Reference 6

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Observation 0766183d-4970-4b52-aff9-64b5685bfdda · outbound

This paper cites Federated Learning with Non-IID Data.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Federated Learning with Non-IID Data

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Observation cc5df9e9-fd66-4fbb-9dbb-fc94ee74ff12 · outbound

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

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 8

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Observation 766d3552-aab5-46f8-bf14-c91604b35f8c · outbound

This paper cites Federated optimization in hetero- geneous networks.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Federated optimization in hetero- geneous networks

Reference 9

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Observation f50d1b38-3593-4eb8-9741-95dd7b4d091f · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Scaffold: Stochastic controlled averaging for federated learning

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Observation fe86058d-a3da-4eac-9e53-4ef2bdc1dea6 · outbound

This paper cites Tackling the objective incon- sistency problem in heterogeneous federated optimization.Advances in neural information processing systems, 33:7611–7623, 2020.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Tackling the objective incon- sistency problem in heterogeneous federated optimization.Advances in neural information processing systems, 33:7611–7623, 2020

Reference 11

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Observation 78bcc26f-76d2-4a55-9ea8-d06d157b2289 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.Proceedings of the national academy of sciences, 114(13):3521–3526,.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Overcoming catastrophic forgetting in neural networks.Proceedings of the national academy of sciences, 114(13):3521–3526,

Reference 12

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Observation ada6fed3-2902-44bc-b699-d089091b6445 · outbound

This paper cites Learning without forgetting.IEEE transactions on pattern analysis and machine intelligence, 40(12):2935–2947, 2017.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Learning without forgetting.IEEE transactions on pattern analysis and machine intelligence, 40(12):2935–2947, 2017

Reference 13

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Observation 88a97ea3-594f-4902-baf7-c3ba1f38174d · outbound

This paper cites Gradient episodic memory for continual learning.Advances in neural information processing systems, 30, 2017.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Gradient episodic memory for continual learning.Advances in neural information processing systems, 30, 2017

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Observation ac451422-e9f6-409c-a4a3-6655da8c418f · outbound

This paper cites icarl: Incre- mental classifier and representation learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning icarl: Incre- mental classifier and representation learning

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Observation 1bb5497c-002b-4e0e-8266-e0178c970714 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning A continual learning survey: Defying forgetting in classification tasks

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This paper cites Three types of incremental learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Three types of incremental learning

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Observation 941e04ac-fef3-4c6e-be21-7f35fd967082 · outbound

This paper cites Federated class-incremental learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Federated class-incremental learning

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Observation 11a87495-5a0a-49e9-9adb-49866f313b72 · outbound

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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Unresolved cited work

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Observation 8b8519d5-3c55-4b09-a4b3-a6499009a894 · outbound

This paper cites TARGET: Federated class-continual learning via exemplar-free distillation.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning TARGET: Federated class-continual learning via exemplar-free distillation

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Observation 914867a3-3c79-4a2a-94ba-971e115fc548 · outbound

This paper cites Text-enhanced data- free approach for federated class-incremental learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Text-enhanced data- free approach for federated class-incremental learning

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Observation ffea93e7-2aee-45d1-ad49-c858a25f0d8d · outbound

This paper cites Towards effi- cient replay in federated incremental learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Towards effi- cient replay in federated incremental learning

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Observation 4efb23f1-a86b-4579-97dc-f6fa7349a516 · outbound

This paper cites Traceable federated continual learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Traceable federated continual learning

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This paper cites 3, 15, 21.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning 3, 15, 21

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Observation 6c0008c3-7087-4100-9824-9d39cb701fd4 · outbound

This paper cites No one left behind: Real-world federated class-incremental learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(4):2054–2070, 2023.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning No one left behind: Real-world federated class-incremental learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(4):2054–2070, 2023

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Observation cf1ce1b2-cc37-42ad-98a0-30bdfa06dd58 · outbound

This paper cites Class-wise balancing data replay for federated class-incremental learning.arXiv preprint arXiv:2507.07712, 2025.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Class-wise balancing data replay for federated class-incremental learning.arXiv preprint arXiv:2507.07712, 2025

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Observation d79ebc72-06e9-482a-ab98-61a1b8cde462 · outbound

This paper cites Resource- constrained federated continual learning: What does matter?ArXiv, abs/2501.08737, 2025.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Resource- constrained federated continual learning: What does matter?ArXiv, abs/2501.08737, 2025

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Observation 8fe68a1e-4768-4d81-a255-fe6e7eb468eb · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.Advances in neural information processing systems, 33:22118–22133, 2020.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Open graph benchmark: Datasets for machine learning on graphs.Advances in neural information processing systems, 33:22118–22133, 2020

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Observation f2604187-4c35-4345-817d-771b5fae4c38 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning LEAF: A Benchmark for Federated Settings

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Observation 1e3a1a9a-4a3a-4351-bafb-66bc923c405d · outbound

This paper cites Fedscale: Benchmarking model and system performance of federated learning at scale.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Fedscale: Benchmarking model and system performance of federated learning at scale

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Observation f4bc7056-f083-4e0d-969a-c660ba59c395 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Flower: A Friendly Federated Learning Research Framework

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Observation 90eceff5-3439-4653-b0cd-b7d3c675f74e · outbound

This paper cites Flamby: Datasets and bench- marks for cross-silo federated learning in realistic healthcare settings.Advances in Neural Information Processing Systems, 35:5315–5334, 2022.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Flamby: Datasets and bench- marks for cross-silo federated learning in realistic healthcare settings.Advances in Neural Information Processing Systems, 35:5315–5334, 2022

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Observation 918a702a-5905-47d2-91bb-a23f7c10a733 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Efficient Lifelong Learning with A-GEM

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Observation 96dad460-d91d-46b3-803e-9dcbb1be6fe1 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline.Advances in neural information processing systems, 33:15920–15930, 2020.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Dark experience for general continual learning: a strong, simple baseline.Advances in neural information processing systems, 33:15920–15930, 2020

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Observation fc83551a-a999-4fe7-b8bd-e552a6783b4a · outbound

This paper cites Learning a unified classifier incrementally via rebalancing.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Learning a unified classifier incrementally via rebalancing

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Observation 363c1aff-ec15-4ba6-acd5-d6c1eb940b16 · outbound

This paper cites Large scale incremental learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Large scale incremental learning

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Observation 4c78c4b3-0705-4c12-94a2-67837a081f34 · outbound

This paper cites Asynchronous federated con- tinual learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Asynchronous federated con- tinual learning

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Observation 31b0738e-81db-4de3-9353-1ffe943be0ba · outbound

This paper cites Fedknow: Federated continual learning with signature task knowledge integration at edge.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Fedknow: Federated continual learning with signature task knowledge integration at edge

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Observation 544906bd-0edc-4597-a9dc-0f5138448af4 · outbound

This paper cites Accurate forgetting for heterogeneous federated continual learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Accurate forgetting for heterogeneous federated continual learning

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Observation 59761ba8-e9f6-485a-a363-b556edb320a9 · outbound

This paper cites Federated continual learning goes online: Uncertainty-aware mem- ory management for vision tasks and beyond.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Federated continual learning goes online: Uncertainty-aware mem- ory management for vision tasks and beyond

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Observation 6a50b350-2f49-4852-8a9e-d9fbb668b133 · outbound

This paper cites Better generative replay for continual federated learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Better generative replay for continual federated learning

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Observation d9a689b7-cbfe-4e75-94c0-73b673d28f9e · outbound

This paper cites Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator

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Observation 510fc8e7-11eb-4f91-bbdd-52b747bae30a · outbound

This paper cites Re-fed+: A better replay strategy for federated incremental learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Re-fed+: A better replay strategy for federated incremental learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

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This paper cites Pilora: Prototype guided incremental lora for federated class-incremental learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Pilora: Prototype guided incremental lora for federated class-incremental learning

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Observation 6002512c-628d-4c03-8764-0f3cfdf22d6c · outbound

This paper cites Federated continual learning via prompt-based dual knowledge transfer.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Federated continual learning via prompt-based dual knowledge transfer

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Observation b18dce59-1eb0-4b47-a6b5-f421b589ea5a · outbound

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

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Closed-form merging of parameter-efficient modules for federated continual learning

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This paper cites pfedmxf: Personal- ized federated class-incremental learning with mixture of frequency aggregation.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning pfedmxf: Personal- ized federated class-incremental learning with mixture of frequency aggregation

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Observation 745133a0-e572-4a28-ad9b-45f0a3875393 · outbound

This paper cites Fedagc: Federated continual learning with asymmetric gradient correction.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Fedagc: Federated continual learning with asymmetric gradient correction

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This paper cites Federated continual graph learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Federated continual graph learning

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Observation 1a29f6d0-9408-405e-8d43-cedb5182c7e1 · outbound

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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Motion: Multi-sculpt evolutionary coarsening for federated continual graph learning

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

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Observation a1144f25-d7d7-4286-bd66-ea17c0f46e65 · outbound

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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Ditto: Fair and robust federated learning through personalization

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This paper cites Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines

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Observation 096e6dbf-b8a4-4423-b8ee-0a8885783860 · outbound

This paper cites Don't forget, there is more than forgetting: new metrics for Continual Learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Don't forget, there is more than forgetting: new metrics for Continual Learning

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This paper cites Online continual learning in image classification: An empirical survey.Neurocomputing, 469:28–51, 2022.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Online continual learning in image classification: An empirical survey.Neurocomputing, 469:28–51, 2022

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Observation d0e764ce-02fd-45b2-817d-99527d343b37 · outbound

This paper cites The clear benchmark: Continual learning on real-world imagery.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning The clear benchmark: Continual learning on real-world imagery

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This paper cites Wilds: A benchmark of in-the-wild distribution shifts.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Wilds: A benchmark of in-the-wild distribution shifts

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Observation a8b2139f-a0ea-4504-856b-384588332e63 · outbound

This paper cites Learning multiple layers of features from tiny images.(2009),.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Learning multiple layers of features from tiny images.(2009),

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This paper cites Tiny imagenet visual recognition challenge.CS 231N, 7(7):3, 2015.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Tiny imagenet visual recognition challenge.CS 231N, 7(7):3, 2015

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This paper cites Deeper, broader and artier domain generalization.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Deeper, broader and artier domain generalization

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This paper cites Moment matching for multi-source domain adaptation.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Moment matching for multi-source domain adaptation

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Observation b2261bab-502d-44c9-94f7-18ce86bbbcaf · outbound

This paper cites Col- lective classification in network data.AI magazine, 29(3):93–93, 2008.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Col- lective classification in network data.AI magazine, 29(3):93–93, 2008

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Observation 914411d9-75e8-4daf-86cb-655f3c3dc202 · outbound

This paper cites Imagenet: A large-scale hier- archical image database.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Imagenet: A large-scale hier- archical image database

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Observation 48c08f9b-be38-4a4a-ac4c-880b53576918 · outbound

This paper cites Divergence measures based on the shannon entropy.IEEE Transactions on Information theory, 37(1):145–151, 2002.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Divergence measures based on the shannon entropy.IEEE Transactions on Information theory, 37(1):145–151, 2002

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Observation a41d2eb6-9f32-42d1-a30f-77a47efa0ad2 · outbound

This paper cites Fedala: Adaptive local aggregation for personalized federated learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Fedala: Adaptive local aggregation for personalized federated learning

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Observation a7f23a6e-0f06-403f-a911-a2da0f12f12c · outbound

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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Fedas: Bridging inconsistency in personalized federated learning

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Observation 85d1a8e7-f27f-41fd-907d-7fc395616802 · outbound

This paper cites Fedl2p: Federated learning to personalize.Advances in Neural Information Processing Systems, 36:14818–14836, 2023.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Fedl2p: Federated learning to personalize.Advances in Neural Information Processing Systems, 36:14818–14836, 2023

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Observation 47ef9b47-7e8c-4a7b-ab63-99a6b51c893a · outbound

This paper cites Eliminating domain bias for federated learning in representation space.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Eliminating domain bias for federated learning in representation space

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Observation b4419fbd-9315-4d11-bc83-495c133c6f6d · outbound

This paper cites Feder- ated domain generalization with data-free on-server matching gradient.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Feder- ated domain generalization with data-free on-server matching gradient

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Observation de86b996-7390-43c0-8242-6ad0048318d6 · outbound

This paper cites Fedssi: Rehearsal- free continual federated learning with synergistic synaptic intelligence.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Fedssi: Rehearsal- free continual federated learning with synergistic synaptic intelligence

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Observation 50b5cc81-a9ee-4f43-8868-aaf4bdd14acd · outbound

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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Ezzeldin, and Salman Avestimehr

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Observation 6a2e0650-88f5-4354-9640-eea0e22fc787 · outbound

This paper cites Spatio-temporal gradient matching for fed- erated continual learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Spatio-temporal gradient matching for fed- erated continual learning

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Observation 41ba140b-a72d-4973-9a04-81b6fbc8efbe · outbound

This paper cites Handling spatial- temporal data heterogeneity for federated continual learning via tail anchor.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Handling spatial- temporal data heterogeneity for federated continual learning via tail anchor

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Observation 03885801-8383-4f6b-8a7a-f0fb8629d642 · outbound

This paper cites Can: Leveraging clients as navigators for gen- erative replay in federated continual learning.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Can: Leveraging clients as navigators for gen- erative replay in federated continual learning

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Observation 6a606704-eee2-43da-851c-df6751c7f3a5 · outbound

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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Unresolved cited work

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Observation 38b31261-df4c-4fda-aebc-b7df1159d8bf · outbound

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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Unresolved cited work

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Observation c42e2aff-1d6e-4d54-8e81-3ee1ad7f8304 · outbound

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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Unresolved cited work

Reference 77

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Observation 05d4f96d-adca-4dd9-b5ed-8cec3d42631b · outbound

This paper cites an unresolved cited work.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning Unresolved cited work

Reference 78

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Observation 3da962ca-78f6-44ac-9ed2-7d70eae92355 · outbound

This paper cites 21 Table 14: Sanity checks for HERO-Core.

HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning 21 Table 14: Sanity checks for HERO-Core

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