FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Fuente:
arXiv
Guardado en:
| Autores principales: | Shi, Changlong, Li, Jinmeng, Zhao, He, Guo, Dandan, Chang, Yi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
por: Shi, Changlong, et al.
Publicado: (2025)
por: Shi, Changlong, et al.
Publicado: (2025)
LLM Meeting Decision Trees on Tabular Data
por: Ye, Hangting, et al.
Publicado: (2025)
por: Ye, Hangting, et al.
Publicado: (2025)
FedLAM: Low-latency Wireless Federated Learning via Layer-wise Adaptive Modulation
por: Qu, Linping, et al.
Publicado: (2025)
por: Qu, Linping, et al.
Publicado: (2025)
LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis
por: Ye, Hangting, et al.
Publicado: (2025)
por: Ye, Hangting, et al.
Publicado: (2025)
OUIDecay: Adaptive Layer-wise Weight Decay for CNNs Using Online Activation Patterns
por: Fernández-Hernández, Alberto, et al.
Publicado: (2026)
por: Fernández-Hernández, Alberto, et al.
Publicado: (2026)
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity
por: Chan, Yun-Hin, et al.
Publicado: (2023)
por: Chan, Yun-Hin, et al.
Publicado: (2023)
FedDuA: Doubly Adaptive Federated Learning
por: Takakura, Shokichi, et al.
Publicado: (2025)
por: Takakura, Shokichi, et al.
Publicado: (2025)
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
por: Kim, Jisoo, et al.
Publicado: (2025)
por: Kim, Jisoo, et al.
Publicado: (2025)
FedLion: Faster Adaptive Federated Optimization with Fewer Communication
por: Tang, Zhiwei, et al.
Publicado: (2024)
por: Tang, Zhiwei, et al.
Publicado: (2024)
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning
por: Yi, Liping, et al.
Publicado: (2024)
por: Yi, Liping, et al.
Publicado: (2024)
Resource-efficient Layer-wise Federated Self-supervised Learning
por: Tun, Ye Lin, et al.
Publicado: (2024)
por: Tun, Ye Lin, et al.
Publicado: (2024)
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
por: Yan, Qifan, et al.
Publicado: (2025)
por: Yan, Qifan, et al.
Publicado: (2025)
Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination
por: Hu, Ming, et al.
Publicado: (2023)
por: Hu, Ming, et al.
Publicado: (2023)
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training
por: Tun, Ye Lin, et al.
Publicado: (2024)
por: Tun, Ye Lin, et al.
Publicado: (2024)
AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt
por: Zhao, Zijian, et al.
Publicado: (2025)
por: Zhao, Zijian, et al.
Publicado: (2025)
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
por: Liu, Xiang, et al.
Publicado: (2023)
por: Liu, Xiang, et al.
Publicado: (2023)
Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration
por: Fang, Jiaxun, et al.
Publicado: (2025)
por: Fang, Jiaxun, et al.
Publicado: (2025)
Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
por: Zhang, Bingjie, et al.
Publicado: (2025)
por: Zhang, Bingjie, et al.
Publicado: (2025)
LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data
por: Wang, Peng, et al.
Publicado: (2025)
por: Wang, Peng, et al.
Publicado: (2025)
pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup
por: Saadati, Yasaman, et al.
Publicado: (2025)
por: Saadati, Yasaman, et al.
Publicado: (2025)
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning
por: Lu, Xiuhua, et al.
Publicado: (2024)
por: Lu, Xiuhua, et al.
Publicado: (2024)
SparsyFed: Sparse Adaptive Federated Training
por: Guastella, Adriano, et al.
Publicado: (2025)
por: Guastella, Adriano, et al.
Publicado: (2025)
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
por: Lai, Phung, et al.
Publicado: (2025)
por: Lai, Phung, et al.
Publicado: (2025)
FedOUI: OUI-Guided Client Weighting for Federated Aggregation
por: Fernández-Hernández, Alberto, et al.
Publicado: (2026)
por: Fernández-Hernández, Alberto, et al.
Publicado: (2026)
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
por: Wang, Ganyu, et al.
Publicado: (2025)
por: Wang, Ganyu, et al.
Publicado: (2025)
Layer-wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning
por: Lee, Sunwoo
Publicado: (2025)
por: Lee, Sunwoo
Publicado: (2025)
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
por: He, Zelin, et al.
Publicado: (2024)
por: He, Zelin, et al.
Publicado: (2024)
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
por: Mueller, Brianna, et al.
Publicado: (2024)
por: Mueller, Brianna, et al.
Publicado: (2024)
FedRE: Robust and Effective Federated Learning with Privacy Preference
por: Xiao, Tianzhe, et al.
Publicado: (2025)
por: Xiao, Tianzhe, et al.
Publicado: (2025)
PLayer-FL: A Principled Approach to Personalized Layer-wise Cross-Silo Federated Learning
por: Elhussein, Ahmed, et al.
Publicado: (2025)
por: Elhussein, Ahmed, et al.
Publicado: (2025)
FedPrism: Adaptive Personalized Federated Learning under Non-IID Data
por: Kumbhakar, Prakash, et al.
Publicado: (2026)
por: Kumbhakar, Prakash, et al.
Publicado: (2026)
FedAgg: Adaptive Federated Learning with Aggregated Gradients
por: Yuan, Wenhao, et al.
Publicado: (2023)
por: Yuan, Wenhao, et al.
Publicado: (2023)
FedTLU: Federated Learning with Targeted Layer Updates
por: Park, Jong-Ik, et al.
Publicado: (2024)
por: Park, Jong-Ik, et al.
Publicado: (2024)
Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
por: Wang, Fei, et al.
Publicado: (2026)
por: Wang, Fei, et al.
Publicado: (2026)
Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth
por: Zhuansun, Ying, et al.
Publicado: (2024)
por: Zhuansun, Ying, et al.
Publicado: (2024)
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
por: Chen, Weihang, et al.
Publicado: (2024)
por: Chen, Weihang, et al.
Publicado: (2024)
FedSheafHN: Personalized Federated Learning on Graph-structured Data
por: Liang, Wenfei, et al.
Publicado: (2024)
por: Liang, Wenfei, et al.
Publicado: (2024)
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
por: Ye, Hangting, et al.
Publicado: (2024)
por: Ye, Hangting, et al.
Publicado: (2024)
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis
por: Wu, Nannan, et al.
Publicado: (2025)
por: Wu, Nannan, et al.
Publicado: (2025)
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
por: Lee, Seanie, et al.
Publicado: (2025)
por: Lee, Seanie, et al.
Publicado: (2025)
Ejemplares similares
-
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
por: Shi, Changlong, et al.
Publicado: (2025) -
LLM Meeting Decision Trees on Tabular Data
por: Ye, Hangting, et al.
Publicado: (2025) -
FedLAM: Low-latency Wireless Federated Learning via Layer-wise Adaptive Modulation
por: Qu, Linping, et al.
Publicado: (2025) -
LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis
por: Ye, Hangting, et al.
Publicado: (2025) -
OUIDecay: Adaptive Layer-wise Weight Decay for CNNs Using Online Activation Patterns
por: Fernández-Hernández, Alberto, et al.
Publicado: (2026)