Image de couverture de livre

Federated Joint Learning for Domain and Class Generalization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xu, Haoran, Li, Jiaze, Ju, Jianzhong, Luo, Zhenbo
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Federated Balanced Learning
par: Li, Jiaze, et autres
Publié: (2026)

Think-Clip-Sample: Slow-Fast Frame Selection for Video Understanding
par: Tan, Wenhui, et autres
Publié: (2026)

MSJoE: Jointly Evolving MLLM and Sampler for Efficient Long-Form Video Understanding
par: Tan, Wenhui, et autres
Publié: (2026)

Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation
par: Li, Jiaze, et autres
Publié: (2026)

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
par: Xu, Haoran, et autres
Publié: (2026)

Rehearsal-free Federated Domain-incremental Learning
par: Sun, Rui, et autres
Publié: (2024)

TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding
par: Xu, Boshen, et autres
Publié: (2025)

Class-wise Balancing Data Replay for Federated Class-Incremental Learning
par: Qi, Zhuang, et autres
Publié: (2025)

Preserving Domain Generalization in Fine-Tuning via Joint Parameter Selection
par: Pan, Bin, et autres
Publié: (2025)

C^2Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
par: Xu, Kunlun, et autres
Publié: (2025)

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
par: Wang, Lei, et autres
Publié: (2024)

Class-Invariant Test-Time Augmentation for Domain Generalization
par: Lin, Zhicheng, et autres
Publié: (2025)

Exploring Vacant Classes in Label-Skewed Federated Learning
par: Guo, Kuangpu, et autres
Publié: (2024)

Feature Diversification and Adaptation for Federated Domain Generalization
par: Yang, Seunghan, et autres
Publié: (2024)

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
par: Su, Shangchao, et autres
Publié: (2022)

Augmentation-based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation
par: Thaler, Franz, et autres
Publié: (2025)

REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding
par: Li, Jiaze, et autres
Publié: (2025)

Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
par: Le, Khiem, et autres
Publié: (2024)

SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
par: You, Haoran, et autres
Publié: (2022)

Federated Domain Generalization via Prompt Learning and Aggregation
par: Gong, Shuai, et autres
Publié: (2024)

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning
par: Chen, Wei, et autres
Publié: (2024)

Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
par: Luo, Mengen, et autres
Publié: (2024)

Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
par: He, Xilin, et autres
Publié: (2024)

K Nearest Neighbor-Guided Trajectory Similarity Learning
par: Chang, Yanchuan, et autres
Publié: (2025)

Federated Adversarial Domain Adaptation
par: Peng, Xingchao, et autres
Publié: (2019)

FMCL: Class-Aware Client Clustering with Foundation Model Representations for Heterogeneous Federated Learning
par: Ali, Mahad, et autres
Publié: (2026)

Cook and Clean Together: Teaching Embodied Agents for Parallel Task Execution
par: Liang, Dingkang, et autres
Publié: (2025)

Transitive Vision-Language Prompt Learning for Domain Generalization
par: Wang, Liyuan, et autres
Publié: (2024)

CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model
par: Hou, Shihao, et autres
Publié: (2025)

Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
par: Qiu, Zihuan, et autres
Publié: (2025)

Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning
par: Pereira, Luiz Manella, et autres
Publié: (2025)

Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
par: Li, Hongzhao, et autres
Publié: (2026)

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
par: Bai, Sikai, et autres
Publié: (2024)

Class Relevance Learning For Out-of-distribution Detection
par: Xiong, Butian, et autres
Publié: (2023)

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
par: Tran, Minh-Tuan, et autres
Publié: (2024)

Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation
par: Ha, SeungBum, et autres
Publié: (2024)

Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
par: Liang, Jinglin, et autres
Publié: (2024)

Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation
par: Chen, Xiaohui, et autres
Publié: (2024)

When Classes Evolve: A Benchmark and Framework for Stage-Aware Class-Incremental Learning
par: Zhang, Zheng, et autres
Publié: (2026)

Effective Decision Boundary Learning for Class Incremental Learning
par: Li, Kunchi, et autres
Publié: (2023)