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Federated Class-Incremental Learning

https://doi.org/10.1109/cvpr52688.2022.00992
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58565-5_6openalex-snapshot
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_37openalex-snapshot
Learning Without Forgetting
inferredcites →https://doi.org/10.1038/s41591-021-01506-3openalex-snapshot
Federated learning for predicting clinical outcomes in patients with COVID-19
inferredcites →https://doi.org/10.1073/pnas.1611835114openalex-snapshot
Overcoming catastrophic forgetting in neural networks
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00046openalex-snapshot
Large Scale Incremental Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00408openalex-snapshot
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01226openalex-snapshot
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01447openalex-snapshot
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00164openalex-snapshot
On Learning the Geodesic Path for Incremental Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00257openalex-snapshot
Adaptive Aggregation Networks for Class-Incremental Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00303openalex-snapshot
DER: Dynamically Expandable Representation for Class Incremental Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00395openalex-snapshot
Distilling Causal Effect of Data in Class-Incremental Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00408openalex-snapshot
Unbiased Mean Teacher for Cross-domain Object Detection
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00691openalex-snapshot
Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2017.368openalex-snapshot
Incremental Learning of Object Detectors without Catastrophic Forgetting
inferredcites →https://doi.org/10.1109/iccv48922.2021.00088openalex-snapshot
SS-IL: Separated Softmax for Incremental Learning
inferredcites →https://doi.org/10.1109/iccv48922.2021.00868openalex-snapshot
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic Segmentation
inferredcites →https://doi.org/10.1109/tcomm.2019.2956472openalex-snapshot
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
inferredcites →https://doi.org/10.1109/tnnls.2019.2953131openalex-snapshot
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation
inferredcites →https://doi.org/10.1109/tpami.2020.3020300openalex-snapshot
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
inferredcites →https://doi.org/10.1109/tpami.2020.3020315openalex-snapshot
DATA: Differentiable ArchiTecture Approximation With Distribution Guided Sampling
inferredcites →https://doi.org/10.1109/tpami.2021.3128560openalex-snapshot
Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1145/3447548.3467185openalex-snapshot
FLOP: Federated Learning on Medical Datasets using Partial Networks
inferredcites →https://doi.org/10.1145/3447548.3467281openalex-snapshot
Federated Adversarial Debiasing for Fair and Transferable Representations
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013304openalex-snapshot
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification
inferredcites →https://doi.org/10.1609/aaai.v35i11.17219openalex-snapshot
Addressing Class Imbalance in Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v35i9.16991openalex-snapshot
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network
inferredcites →https://doi.org/10.1609/aaai.v36i1.19925openalex-snapshot
Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.392openalex-snapshot
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlp.93openalex-snapshot
Learning to Ground Visual Objects for Visual Dialog
inferredcites →https://doi.org/10.24963/ijcai.2020/350openalex-snapshot
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.1906.04329openalex-snapshot
Federated Learning for Emoji Prediction in a Mobile Keyboard
inferredcites →https://doi.org/10.48550/arxiv.1910.06044openalex-snapshot
Eavesdrop the Composition Proportion of Training Labels in Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.1910.06378openalex-snapshot
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.1910.07796openalex-snapshot
Overcoming Forgetting in Federated Learning on Non-IID Data
inferredcites →https://doi.org/10.48550/arxiv.1911.02054openalex-snapshot
Federated Adversarial Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.2001.02610openalex-snapshot
iDLG: Improved Deep Leakage from Gradients
inferredcites →https://doi.org/10.48550/arxiv.2102.07623openalex-snapshot
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
inferredcites →https://doi.org/10.48550/arxiv.2106.06916openalex-snapshot
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
inferredcites →https://doi.org/10.48550/arxiv.2108.06910openalex-snapshot
A Novel Attribute Reconstruction Attack in Federated Learning
inferredcites →https://doi.org/10.57702/zp44cu3gopenalex-snapshot
Learning Multiple Layers of Features from Tiny Images

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Fil-Cad: A Fault Detection Method for Iiot Based on Federated Incremental Learning with Class Accuracy Distillation
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A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems
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RBC: Rectifying the Biased Context in Continual Semantic Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-031-46308-2_18openalex-snapshot
Recent Advances in Class-Incremental Learning
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Cs$$^2$$K: Class-Specific and Class-Shared Knowledge Guidance for Incremental Semantic Segmentation
inferred← citeshttps://doi.org/10.1007/978-3-031-72952-2_8openalex-snapshot
Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching
inferred← citeshttps://doi.org/10.1007/978-3-031-72970-6_1openalex-snapshot
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-Based Continual Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-78389-0_6openalex-snapshot
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-96628-6_23openalex-snapshot
Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-11381-8_15openalex-snapshot
DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-31452-9_8openalex-snapshot
Federated Class-Incremental Object Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-37461-5_18openalex-snapshot
Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-38398-3_35openalex-snapshot
Tackling Catastrophic Forgetting in Split Learning via Orthogonal Projection
inferred← citeshttps://doi.org/10.1007/978-981-95-1331-4_6openalex-snapshot
Wireless Sensing Based on Federated Incremental Learning
inferred← citeshttps://doi.org/10.1007/978-981-95-1999-6_9openalex-snapshot
Federated Unlearning: Efficient Data Removal Strategies and Challenges in Privacy-Preserving Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-95-2581-2_5openalex-snapshot
FedDEK: Federated Domain-Incremental Learning via Expert Knowledge Construction
inferred← citeshttps://doi.org/10.1007/978-981-96-0963-5_21openalex-snapshot
Federated Class Incremental Learning: A Pseudo Feature Based Approach Without Exemplars
inferred← citeshttps://doi.org/10.1007/978-981-97-5675-9_29openalex-snapshot
Addressing Catastrophic Forgetting in Federated Learning on Resource-Constrained Devices: A Feature Replay Approach
inferred← citeshttps://doi.org/10.1007/s00138-024-01635-yopenalex-snapshot
Future-proofing class-incremental learning
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CTWA: a novel incremental deep learning-based intrusion detection method for the Internet of Things
inferred← citeshttps://doi.org/10.1007/s10462-026-11575-wopenalex-snapshot
Addressing catastrophic forgetting in class-incremental learning—a survey
inferred← citeshttps://doi.org/10.1007/s10489-024-05717-2openalex-snapshot
Multi-strategy continual learning for knowledge refinement and consolidation
inferred← citeshttps://doi.org/10.1007/s10586-024-04697-9openalex-snapshot
Dmaf: data-model anti-forgetting for federated incremental learning
inferred← citeshttps://doi.org/10.1007/s10586-025-05311-2openalex-snapshot
ACFFSL:a federated few-shot learning framework with contrastive learning and lightweight multi-scale attention
inferred← citeshttps://doi.org/10.1007/s10586-026-06286-4openalex-snapshot
A review of federated learning: architectures, challenges, and targeted solutions
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A class-incremental learning method for fault diagnosis based on the CKAN-KAN: a case study on bearing faults
inferred← citeshttps://doi.org/10.1007/s11263-024-02218-0openalex-snapshot
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
inferred← citeshttps://doi.org/10.1007/s11263-026-02746-xopenalex-snapshot
Few-shot Class-Incremental Learning via Generative Co-Memory Regularization
inferred← citeshttps://doi.org/10.1007/s11263-026-02937-6openalex-snapshot
Federated Learning Meets Test-Time Adaptation: Methods, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1007/s11390-025-5186-5openalex-snapshot
Federated Class-Incremental Learning with New-Class Augmented Self-Distillation
inferred← citeshttps://doi.org/10.1007/s11704-024-40065-xopenalex-snapshot
A comprehensive survey of federated transfer learning: challenges, methods and applications
inferred← citeshttps://doi.org/10.1016/j.aej.2026.04.008openalex-snapshot
Towards practical federated unlearning: A knowledge distillation solution
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111448openalex-snapshot
Explainable federated class incremental learning for Encrypted Network Traffic classification
inferred← citeshttps://doi.org/10.1016/j.displa.2026.103554openalex-snapshot
AFCL-CSC: Asynchronous Federated Continual Learning with Client–Server Cooperative optimization
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108826openalex-snapshot
Federated continual representation learning for evolutionary distributed intrusion detection in Industrial Internet of Things
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129278openalex-snapshot
Federated continual learning for task-incremental and class-incremental problems: A survey
inferred← citeshttps://doi.org/10.1016/j.future.2023.09.019openalex-snapshot
FL-IIDS: A novel federated learning-based incremental intrusion detection system
inferred← citeshttps://doi.org/10.1016/j.ins.2025.121992openalex-snapshot
Sparse personalized federated class-incremental learning
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104470openalex-snapshot
Developing continuous toxicity detection against increasing types of perturbed toxic text
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130844openalex-snapshot
Federated continual learning: Concepts, challenges, and solutions
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.02.008openalex-snapshot
Lifelong Text-Audio Sentiment Analysis learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2023.07.009openalex-snapshot
Dual memory model for experience-once task-incremental lifelong learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.110542openalex-snapshot
Dynamic heterogeneous federated learning with multi-level prototypes
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.111048openalex-snapshot
Federated Incremental Learning algorithm based on Topological Data Analysis
inferred← citeshttps://doi.org/10.1038/s41598-024-62908-0openalex-snapshot
Global prototype distillation for heterogeneous federated learning
inferred← citeshttps://doi.org/10.1038/s41598-024-80048-3openalex-snapshot
An efficient personalized federated learning approach in heterogeneous environments: a reinforcement learning perspective
inferred← citeshttps://doi.org/10.1109/access.2023.3294812openalex-snapshot
FedDK: Improving Cyclic Knowledge Distillation for Personalized Healthcare Federated Learning
inferred← citeshttps://doi.org/10.1109/access.2023.3310400openalex-snapshot
Federated Learning in Computer Vision
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Secure and Scalable Blockchain-Based Federated Learning for Cryptocurrency Fraud Detection: A Systematic Review
inferred← citeshttps://doi.org/10.1109/access.2025.3591310openalex-snapshot
Federated Mental Wellbeing Assessment Using Smartphone Sensors Under Unreliable Participation
inferred← citeshttps://doi.org/10.1109/access.2025.3619776openalex-snapshot
A Comprehensive Survey on Advanced Data Science Platforms for Cyber-Physical Systems, Digital Twins, and Robotics
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Drift-Aware Federated Continual Learning for Privacy-Preserving Android Malware Intrusion Detection
inferred← citeshttps://doi.org/10.1109/ainit65432.2025.11035458openalex-snapshot
Encrypted Traffic Classification Based on Federated Class Prototype Incremental Learning
inferred← citeshttps://doi.org/10.1109/atc63255.2024.10908328openalex-snapshot
FI-IDS: A Federated Incremental Learning Approach for Intrusion Detection System
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FedOCP-LRAT: A Rehearsal-Free Federated Continual Learning Framework via Orthogonal Compensation and Low-Rank Alternating Training for Medical Image Continual Classification
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FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
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Masked Autoencoders are Parameter-Efficient Federated Continual Learners
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10826139openalex-snapshot
Drift Detection and Adaptation for Federated Learning in IoT with Adaptive Device Management
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402107openalex-snapshot
Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402532openalex-snapshot
Federated Continual Learning Using Concept Matching
inferred← citeshttps://doi.org/10.1109/bigdia68682.2025.11383357openalex-snapshot
CDFFCIL: Comprehensive Framework for Data-Free Federated Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/bigdia68682.2025.11383442openalex-snapshot
TMEA: Task-Modularized Evolutionary Aggregation for Federated Continual Learning
inferred← citeshttps://doi.org/10.1109/cai59869.2024.00153openalex-snapshot
Learning Task-Specific Initialization for Effective Federated Continual Fine-Tuning of Foundation Model Adapters
inferred← citeshttps://doi.org/10.1109/comst.2024.3393230openalex-snapshot
End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/comst.2025.3568279openalex-snapshot
Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey
inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033402openalex-snapshot
CBL-ISL: A CNN and Bi-LSTM-Based Incremental Few-Shot Learning Approach for Real-Time Intrusion Detection in Industrial Internet of Things (IIoT) Systems
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00981openalex-snapshot
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00988openalex-snapshot
Differentially Private Federated Learning with Local Regularization and Sparsification
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00383openalex-snapshot
Federated Incremental Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00385openalex-snapshot
Federated Domain Generalization with Generalization Adjustment
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00777openalex-snapshot
FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00779openalex-snapshot
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01084openalex-snapshot
A Strong Baseline for Generalized Few-Shot Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01150openalex-snapshot
Accelerating Dataset Distillation via Model Augmentation
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Hard Sample Matters a Lot in Zero-Shot Quantization
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01218openalex-snapshot
Towards Efficient Replay in Federated Incremental Learning
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01223openalex-snapshot
Traceable Federated Continual Learning
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02223openalex-snapshot
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.02398openalex-snapshot
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.02853openalex-snapshot
pFedMxF: Personalized Federated Class-incremental Learning with Mixture of Frequency Aggregation
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00746openalex-snapshot
AFCL: Achieving Spatio-Temporal Invariance to Data Heterogeneity in Federated Continual Learning
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00534openalex-snapshot
Asynchronous Federated Continual Learning
inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00283openalex-snapshot
Enrich, Distill and Fuse: Generalized Few-Shot Semantic Segmentation in Remote Sensing Leveraging Foundation Model’s Assistance
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FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00167openalex-snapshot
Forget Less, Learn More: Contrastive-Based Federated Class Incremental Learning with a Low-Dimensional Projection Layer
inferred← citeshttps://doi.org/10.1109/datascimi67380.2026.11523959openalex-snapshot
FedTA++: A Temporal-Aware Framework for Mitigating Spatial-Temporal Catastrophic Forgetting in Federated Continual Learning
inferred← citeshttps://doi.org/10.1109/dcoss-iot65416.2025.00026openalex-snapshot
Federated Continual Learning for Monocular Depth Estimation in Dynamic Indoor Environments
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096163openalex-snapshot
Towards Adversarially Robust Continual Learning
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10887681openalex-snapshot
Personalized Federated Class-Incremental Learning through Critical Parameter Transfer
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463554openalex-snapshot
Enhancing Personalized Federated Continual Learning with Client-Specific Semantic Knowledge
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464636openalex-snapshot
DeMoFL: Efficient and Effective Decentralized Model-Heterogeneous Federated Learning
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00441openalex-snapshot
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00515openalex-snapshot
Instance and Category Supervision are Alternate Learners for Continual Learning
inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01078openalex-snapshot
Heterogeneous Forgetting Compensation for Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00131openalex-snapshot
Federated Continual Instruction Tuning
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00234openalex-snapshot
Federated Continuous Category Discovery and Learning
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00253openalex-snapshot
Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00366openalex-snapshot
FedAGC: Federated Continual Learning with Asymmetric Gradient Correction
inferred← citeshttps://doi.org/10.1109/iccvw60793.2023.00371openalex-snapshot
FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning
inferred← citeshttps://doi.org/10.1109/iccworkshops63917.2026.11586419openalex-snapshot
Parameter-Efficient Continuous Adaptation of Large Models in Hierarchical Federated Networks
inferred← citeshttps://doi.org/10.1109/icdcs63083.2025.00081openalex-snapshot
PP-FCL: Privacy-Preserving Federated Continual Learning via Generative Replay and Incremental Representation Enhancement
inferred← citeshttps://doi.org/10.1109/icdcs63083.2025.00086openalex-snapshot
Rehearsal-free Federated Domain-incremental Learning
inferred← citeshttps://doi.org/10.1109/icma65362.2025.11120804openalex-snapshot
A Novel Federated Continual Learning-Based Intelligent Framework for Rolling Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/icme57554.2024.10688122openalex-snapshot
FL-Clip: Bridging Plasticity and Stability in Pre-Trained Federated Class-Incremental Learning Models
inferred← citeshttps://doi.org/10.1109/icme59968.2025.11209137openalex-snapshot
GLRB: Heterogeneous Federated Continual Learning via Global and Local Rebalance
inferred← citeshttps://doi.org/10.1109/icme59968.2025.11210106openalex-snapshot
RKU: Relevant Knowledge-aware Unlearning for Federated Continual Learning
inferred← citeshttps://doi.org/10.1109/icmlt65785.2025.11193246openalex-snapshot
Federated Class-Incremental Learning: A Survey
inferred← citeshttps://doi.org/10.1109/icsccc69031.2026.11600098openalex-snapshot
Quantized Federated Continual Learning for AI-Driven Optimization in Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191498openalex-snapshot
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10192030openalex-snapshot
Angular Penalty for Few-Shot Incremental 3D Object Learning
inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571275openalex-snapshot
Fed-RAFT: Enabling Robust Dynamic Clustering in Non-Stationary Federated LLM Fine-Tuning via Asymmetric Fusion
inferred← citeshttps://doi.org/10.1109/iros55552.2023.10341834openalex-snapshot
I3DOD: Towards Incremental 3D Object Detection via Prompting
inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802073openalex-snapshot
FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding
inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246711openalex-snapshot
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving
inferred← citeshttps://doi.org/10.1109/isi69914.2026.11685850openalex-snapshot
OIAFed: All-in-One Federated Learning Framework
inferred← citeshttps://doi.org/10.1109/ist59124.2023.10355708openalex-snapshot
Federated Learning Aggregation based on Weight Distribution Analysis
inferred← citeshttps://doi.org/10.1109/iucc65928.2024.00069openalex-snapshot
FCLIT: Block-wise Federated Continual Learning for Computing Power Measurement under Dynamic Tasks
inferred← citeshttps://doi.org/10.1109/iwcmc65282.2025.11059569openalex-snapshot
Fault Diagnosis in Satellite System: A Federated Learning Approach with Communication Constraints
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3428512openalex-snapshot
Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection
inferred← citeshttps://doi.org/10.1109/jiot.2024.3353793openalex-snapshot
SLMFed: A Stage-Based and Layerwise Mechanism for Incremental Federated Learning to Assist Dynamic and Ubiquitous IoT
inferred← citeshttps://doi.org/10.1109/jiot.2024.3408634openalex-snapshot
Toward Ever-Evolution Network Threats: A Hierarchical Federated Class-Incremental Learning Approach for Network Intrusion Detection in IIoT
inferred← citeshttps://doi.org/10.1109/jiot.2024.3434600openalex-snapshot
General Federated Class-Incremental Learning With Lightweight Generative Replay
inferred← citeshttps://doi.org/10.1109/jiot.2024.3510553openalex-snapshot
FCLLM-DT: Enpowering Federated Continual Learning With Large Language Models for Digital-Twin-Based Industrial IoT
inferred← citeshttps://doi.org/10.1109/jiot.2025.3546624openalex-snapshot
Overcoming Forgetting Using Adaptive Federated Learning for IIoT Devices With Non-IID Data
inferred← citeshttps://doi.org/10.1109/jiot.2025.3553901openalex-snapshot
Federated Class-Incremental Learning via Weighted Aggregation and Distillation
inferred← citeshttps://doi.org/10.1109/jiot.2026.3654021openalex-snapshot
High-Performance Personalized Federated Continual Learning Framework for Dynamic Data Sharing in IoV
inferred← citeshttps://doi.org/10.1109/jiot.2026.3685224openalex-snapshot
FedDiDy: Federated Class-Incremental Fault Diagnosis for Industrial IoT Rotating Machinery Under Dynamic Edge Participation
inferred← citeshttps://doi.org/10.1109/jsen.2026.3721701openalex-snapshot
Rehearsal-Free Federated Continual Learning With Prototype Guided Strategy for Industrial Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/mipr70517.2026.00031openalex-snapshot
Hierarchical Federated Class-Incremental Learning with Client-Local Replay for Industrial IoT Intrusion Detection
inferred← citeshttps://doi.org/10.1109/mita69365.2026.11582757openalex-snapshot
Variational Autoencoder-Based Knowledge Transfer in Federated Continual Recommendation
inferred← citeshttps://doi.org/10.1109/mwc.019.2200574openalex-snapshot
Integrating Communication, Sensing and Computing in Satellite Internet of Things: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3484228openalex-snapshot
Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges
inferred← citeshttps://doi.org/10.1109/ojcs.2023.3332351openalex-snapshot
Benchmark for Personalized Federated Learning
inferred← citeshttps://doi.org/10.1109/pacrim61180.2024.10690192openalex-snapshot
Continual Federated Learning for Dynamic Data Environments
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11343480openalex-snapshot
Rehearsal-Free Federated Continual Learning: An Orthogonal Projection Approach
inferred← citeshttps://doi.org/10.1109/taffc.2024.3469189openalex-snapshot
Leaving None Behind: Data-Free Domain Incremental Learning for Major Depressive Disorder Detection
inferred← citeshttps://doi.org/10.1109/tai.2023.3307664openalex-snapshot
Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity
inferred← citeshttps://doi.org/10.1109/tai.2024.3419757openalex-snapshot
A Novel Incentive Mechanism for Federated Learning Over Wireless Communications
inferred← citeshttps://doi.org/10.1109/taslpro.2025.3555097openalex-snapshot
Federated Incremental Named Entity Recognition
inferred← citeshttps://doi.org/10.1109/taslpro.2025.3578765openalex-snapshot
Semantic-Retention Attack for Continual Named Entity Recognition
inferred← citeshttps://doi.org/10.1109/taslpro.2025.3592317openalex-snapshot
Exploring Stability-Plasticity Trade-Offs for Continual Named Entity Recognition
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3281983openalex-snapshot
Spatial–Temporal Federated Learning for Lifelong Person Re-Identification on Distributed Edges
inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3304567openalex-snapshot
Self-Paced Weight Consolidation for Continual Learning
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3378978openalex-snapshot
Category-Contextual Relation Encoding Network for Few-Shot Object Detection
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3551612openalex-snapshot
Class-Aware Prompting for Federated Few-Shot Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3572943openalex-snapshot
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer
inferred← citeshttps://doi.org/10.1109/tfuzz.2025.3584697openalex-snapshot
Robust Federated Fuzzy C-Means Algorithm in Heterogeneous Scenarios
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3406817openalex-snapshot
FCIL-MSN: A Federated Class-Incremental Learning Method for Multisatellite Networks
inferred← citeshttps://doi.org/10.1109/tim.2026.3690858openalex-snapshot
A Hierarchical Federated Learning Framework for Sustainable Deployment in Dynamic-Cluster-Based Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tip.2026.3671625openalex-snapshot
CRISP: Contrastive Residual Injection and Semantic Prompting for Continual Video Instance Segmentation
inferred← citeshttps://doi.org/10.1109/tits.2025.3543235openalex-snapshot
Fast-Convergent and Communication-Alleviated Heterogeneous Hierarchical Federated Learning in Autonomous Driving
inferred← citeshttps://doi.org/10.1109/tkde.2024.3363240openalex-snapshot
Federated Continual Learning via Knowledge Fusion: A Survey
inferred← citeshttps://doi.org/10.1109/tkde.2024.3390041openalex-snapshot
MAP: Model Aggregation and Personalization in Federated Learning With Incomplete Classes
inferred← citeshttps://doi.org/10.1109/tkde.2025.3528876openalex-snapshot
Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework
inferred← citeshttps://doi.org/10.1109/tkde.2025.3544605openalex-snapshot
CGoFed: Constrained Gradient Optimization Strategy for Federated Class Incremental Learning
inferred← citeshttps://doi.org/10.1109/tkde.2025.3550809openalex-snapshot
Complementary Learning Subnetworks Towards Parameter-Efficient Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/tkde.2025.3555328openalex-snapshot
Ten Challenging Problems in Federated Foundation Models
inferred← citeshttps://doi.org/10.1109/tkde.2025.3638888openalex-snapshot
LightTR+: A Lightweight Incremental Framework for Federated Trajectory Recovery
inferred← citeshttps://doi.org/10.1109/tmc.2024.3419096openalex-snapshot
Federated Class-Incremental Learning With Dynamic Feature Extractor Fusion
inferred← citeshttps://doi.org/10.1109/tmc.2024.3476340openalex-snapshot
Harmonizing Global and Local Class Imbalance for Federated Learning
inferred← citeshttps://doi.org/10.1109/tmc.2025.3593252openalex-snapshot
Ground-Assisted LEO Satellite Federated Learning: Dynamic, Efficient, Distributed Learning
inferred← citeshttps://doi.org/10.1109/tmc.2025.3597713openalex-snapshot
Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control
inferred← citeshttps://doi.org/10.1109/tmc.2025.3618275openalex-snapshot
Federated Continual Learning With Bounded Forgetting via Diffusion-Based Generative Replay in Edge Computing
inferred← citeshttps://doi.org/10.1109/tmi.2023.3307892openalex-snapshot
Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning
inferred← citeshttps://doi.org/10.1109/tmi.2024.3412420openalex-snapshot
Prototype Correlation Matching and Class- Relation Reasoning for Few-Shot Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/tmi.2025.3596835openalex-snapshot
Improving Learning of New Diseases Through Knowledge-Enhanced Initialization for Federated Adapter Tuning
inferred← citeshttps://doi.org/10.1109/tmlcn.2023.3344074openalex-snapshot
Privacy-Preserving Federated Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/tmm.2023.3336243openalex-snapshot
Gradient-Semantic Compensation for Incremental Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tmm.2026.3651059openalex-snapshot
Constructing Enhanced Mutual Information for Online Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2022.3199816openalex-snapshot
Incremental Embedding Learning With Disentangled Representation Translation
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3247490openalex-snapshot
InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3469962openalex-snapshot
Federated Cross-Incremental Self-Supervised Learning for Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3548465openalex-snapshot
BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3565827openalex-snapshot
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
inferred← citeshttps://doi.org/10.1109/tnse.2025.3566954openalex-snapshot
Mitigating Evasion Attacks in Federated Learning Based Signal Classifiers
inferred← citeshttps://doi.org/10.1109/tnse.2025.3572362openalex-snapshot
Rethinking Knowledge Distillation in Collaborative Machine Learning: Memory, Knowledge, and Their Interactions
inferred← citeshttps://doi.org/10.1109/tnse.2025.3587310openalex-snapshot
Federated Learning for Network Traffic Classification: A Knowledge Consolidation Approach
inferred← citeshttps://doi.org/10.1109/tnse.2025.3638762openalex-snapshot
Neighborhood and Global Perturbations Supported Sharpness-Aware Minimization in Federated Learning: From Local Tweaks to Global Awareness
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3398213openalex-snapshot
Clients Eligibility-Based Lightweight Protocol in Federated Learning: An IDS Use Case
inferred← citeshttps://doi.org/10.1109/ton.2026.3670132openalex-snapshot
A Device-Cloud Collaborative Data Enrichment Framework for Continual Learning on Devices
inferred← citeshttps://doi.org/10.1109/tpami.2023.3334213openalex-snapshot
No One Left Behind: Real-World Federated Class-Incremental Learning
inferred← citeshttps://doi.org/10.1109/tpami.2024.3367329openalex-snapshot
A Comprehensive Survey of Continual Learning: Theory, Method and Application
inferred← citeshttps://doi.org/10.1109/tpami.2024.3382753openalex-snapshot
Create Your World: Lifelong Text-to-Image Diffusion
inferred← citeshttps://doi.org/10.1109/tpami.2024.3429383openalex-snapshot
Class-Incremental Learning: A Survey
inferred← citeshttps://doi.org/10.1109/tpami.2024.3498346openalex-snapshot
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
inferred← citeshttps://doi.org/10.1109/tpami.2025.3551732openalex-snapshot
Re-Fed+: A Better Replay Strategy for Federated Incremental Learning
inferred← citeshttps://doi.org/10.1109/tpami.2026.3664293openalex-snapshot
Learning From Each Other: Generalized Federated Incremental Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tpami.2026.3700787openalex-snapshot
Crafting Your Evolving Dreams: Concept-Incremental Versatile Customization
inferred← citeshttps://doi.org/10.1109/tpami.2026.3711828openalex-snapshot
Robust Personalized Federated Continual Learning via Explainable Multi-Granularity Prompt
inferred← citeshttps://doi.org/10.1109/tpds.2024.3436874openalex-snapshot
SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning
inferred← citeshttps://doi.org/10.1109/tpds.2025.3531123openalex-snapshot
Loci: Federated Continual Learning of Heterogeneous Tasks at Edge
inferred← citeshttps://doi.org/10.1109/trustcom63139.2024.00090openalex-snapshot
DPFCIL: Differentially Private Federated Class-Incremental Learning on non-IID Data
inferred← citeshttps://doi.org/10.1109/tsc.2024.3355188openalex-snapshot
Server-Initiated Federated Unlearning to Eliminate Impacts of Low-Quality Data
inferred← citeshttps://doi.org/10.1109/tsc.2025.3615471openalex-snapshot
Cross-F$^{2}$SCIL: A Federated Few-Shot Class Incremental Learning Method for Cross Mobile Edge Network Environments
inferred← citeshttps://doi.org/10.1109/tsmc.2023.3302008openalex-snapshot
Topology-Aware Graph Convolution Network for Few-Shot Incremental 3-D Object Learning
inferred← citeshttps://doi.org/10.1109/tsmc.2026.3687878openalex-snapshot
Federated Class Incremental Learning Method With High Accuracy and Extremely Low Communication Cost Based on Broad Learning System
inferred← citeshttps://doi.org/10.1109/tsmc.2026.3707826openalex-snapshot
FedCon 2 : Federated Learning on Non-I.I.D. Continual Data via Dual-Contrastive Representations
inferred← citeshttps://doi.org/10.1109/tsp.2024.3361714openalex-snapshot
Distributed Continual Learning With CoCoA in High-Dimensional Linear Regression
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