BESplit: Bias-Compensated Split Federated Learning with Evidential Aggregation
Fuente:
arXiv
Saved in:
| Main Authors: | Xie, Yuhan, Lyu, Chen, Huang, Jingrong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HealSplit: Towards Self-Healing through Adversarial Distillation in Split Federated Learning
by: Xie, Yuhan, et al.
Published: (2025)
by: Xie, Yuhan, et al.
Published: (2025)
BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning
by: Xie, Yuhan, et al.
Published: (2026)
by: Xie, Yuhan, et al.
Published: (2026)
HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
by: Chen, Qiyuan, et al.
Published: (2026)
by: Chen, Qiyuan, et al.
Published: (2026)
Graph Evidential Learning for Anomaly Detection
by: Wei, Chunyu, et al.
Published: (2025)
by: Wei, Chunyu, et al.
Published: (2025)
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
by: Chen, Mengyuan, et al.
Published: (2024)
by: Chen, Mengyuan, et al.
Published: (2024)
SplAgger: Split Aggregation for Meta-Reinforcement Learning
by: Beck, Jacob, et al.
Published: (2024)
by: Beck, Jacob, et al.
Published: (2024)
Uncertainty Regularized Evidential Regression
by: Ye, Kai, et al.
Published: (2024)
by: Ye, Kai, et al.
Published: (2024)
A Comprehensive Survey on Evidential Deep Learning and Its Applications
by: Gao, Junyu, et al.
Published: (2024)
by: Gao, Junyu, et al.
Published: (2024)
Evidential Federated Learning for Skin Lesion Image Classification
by: Hendrix, Rutger, et al.
Published: (2024)
by: Hendrix, Rutger, et al.
Published: (2024)
Equivariant Evidential Deep Learning for Interatomic Potentials
by: Wang, Zhongyao, et al.
Published: (2026)
by: Wang, Zhongyao, et al.
Published: (2026)
eDOC: Explainable Decoding Out-of-domain Cell Types with Evidential Learning
by: Wu, Chaochen, et al.
Published: (2024)
by: Wu, Chaochen, et al.
Published: (2024)
EviDep: Trustworthy Multimodal Depression Estimation via Disentangled Evidential Learning
by: Liu, Fangyuan, et al.
Published: (2026)
by: Liu, Fangyuan, et al.
Published: (2026)
Balanced Aggregation: Understanding and Fixing Aggregation Bias in GRPO
by: Zeng, Zhiyuan, et al.
Published: (2026)
by: Zeng, Zhiyuan, et al.
Published: (2026)
ASFL: An Adaptive Model Splitting and Resource Allocation Framework for Split Federated Learning
by: Meng, Chuiyang, et al.
Published: (2026)
by: Meng, Chuiyang, et al.
Published: (2026)
Intrinsic Training Signals for Federated Learning Aggregation
by: Fiorini, Cosimo, et al.
Published: (2025)
by: Fiorini, Cosimo, et al.
Published: (2025)
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
by: Lai, Jiahao, et al.
Published: (2024)
by: Lai, Jiahao, et al.
Published: (2024)
Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation
by: Chun, Yongchan, et al.
Published: (2026)
by: Chun, Yongchan, et al.
Published: (2026)
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
by: Jürgens, Mira, et al.
Published: (2024)
by: Jürgens, Mira, et al.
Published: (2024)
Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
by: Fang, Zihan, et al.
Published: (2026)
by: Fang, Zihan, et al.
Published: (2026)
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
by: Cajaraville-Aboy, Diego, et al.
Published: (2024)
by: Cajaraville-Aboy, Diego, et al.
Published: (2024)
Federated Learning with Graph-Based Aggregation for Traffic Forecasting
by: Banik, Audri, et al.
Published: (2025)
by: Banik, Audri, et al.
Published: (2025)
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
by: Yang, Jiarong, et al.
Published: (2024)
by: Yang, Jiarong, et al.
Published: (2024)
Mitigating Participation Imbalance Bias in Asynchronous Federated Learning
by: Chang, Xiangyu, et al.
Published: (2025)
by: Chang, Xiangyu, et al.
Published: (2025)
Robust Adversarial Quantification via Conflict-Aware Evidential Deep Learning
by: Barker, Charmaine, et al.
Published: (2025)
by: Barker, Charmaine, et al.
Published: (2025)
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning
by: Stutts, Alex Christopher, et al.
Published: (2024)
by: Stutts, Alex Christopher, et al.
Published: (2024)
Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation
by: Pandey, Deep Shankar, et al.
Published: (2025)
by: Pandey, Deep Shankar, et al.
Published: (2025)
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs
by: Sun, Nan, et al.
Published: (2025)
by: Sun, Nan, et al.
Published: (2025)
Coding-Enforced Resilient and Secure Aggregation for Hierarchical Federated Learning
by: Weng, Shudi, et al.
Published: (2026)
by: Weng, Shudi, et al.
Published: (2026)
An Interpretable Client Decision Tree Aggregation process for Federated Learning
by: Argente-Garrido, Alberto, et al.
Published: (2024)
by: Argente-Garrido, Alberto, et al.
Published: (2024)
SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
by: Ma, Jian, et al.
Published: (2025)
by: Ma, Jian, et al.
Published: (2025)
FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation
by: Peng, Zihao, et al.
Published: (2025)
by: Peng, Zihao, et al.
Published: (2025)
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation
by: Ranaweera, Kanishka, et al.
Published: (2025)
by: Ranaweera, Kanishka, et al.
Published: (2025)
Personalized Federated Learning via Learning Dynamic Graphs
by: Zhou, Ziran, et al.
Published: (2025)
by: Zhou, Ziran, et al.
Published: (2025)
Hybrid Federated and Split Learning for Privacy Preserving Clinical Prediction and Treatment Optimization
by: Akter, Farzana, et al.
Published: (2026)
by: Akter, Farzana, et al.
Published: (2026)
Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training
by: Papageorgiou, Yiannis, et al.
Published: (2026)
by: Papageorgiou, Yiannis, et al.
Published: (2026)
FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation
by: Meng, Fanfei, et al.
Published: (2023)
by: Meng, Fanfei, et al.
Published: (2023)
Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
by: Hou, Yubo, et al.
Published: (2026)
by: Hou, Yubo, et al.
Published: (2026)
Revisiting Gradient Staleness: Evaluating Distance Metrics for Asynchronous Federated Learning Aggregation
by: Wilhelm, Patrick, et al.
Published: (2026)
by: Wilhelm, Patrick, et al.
Published: (2026)
Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
by: Guan, Zenghao, et al.
Published: (2025)
by: Guan, Zenghao, et al.
Published: (2025)
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation
by: Yuan, Jinsheng, et al.
Published: (2024)
by: Yuan, Jinsheng, et al.
Published: (2024)
Similar Items
-
HealSplit: Towards Self-Healing through Adversarial Distillation in Split Federated Learning
by: Xie, Yuhan, et al.
Published: (2025) -
BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning
by: Xie, Yuhan, et al.
Published: (2026) -
HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
by: Chen, Qiyuan, et al.
Published: (2026) -
Graph Evidential Learning for Anomaly Detection
by: Wei, Chunyu, et al.
Published: (2025) -
Revisiting Essential and Nonessential Settings of Evidential Deep Learning
by: Chen, Mengyuan, et al.
Published: (2024)