conftrace_

data heterogeneity

115 papers

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Co-occurring keywords

federated learning (1333) model aggregation (156) distributed learning (563) knowledge distillation (3725) communication efficiency (297) heterogeneous datum (119) convergence analysis (395) client selection (23) non-iid datum (109) distributed optimization (275)

Papers

SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data AAAI 2026
Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026
TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion ACL 2026
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026
DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation AAAI 2026
A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication AAAI 2026
Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack AAAI 2026
Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections MIDL 2026
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning WACV 2025
FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models ICCV 2025
Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models WACV 2025
Inconsistency-Based Federated Active Learning IJCAI 2025
FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025
FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization ICCV 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025
Federated Continual Instruction Tuning ICCV 2025
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025
An Empirical Study of Federated Prompt Learning for Vision Language Model IJCAI 2025
Progressive Distribution Matching for Federated Semi-Supervised Learning AAAI 2025
FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning ICCV 2025