ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Siomos, Vasilis, Naval-Marimont, Sergio, Passerat-Palmbach, Jonathan, Tarroni, Giacomo |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
by: Siomos, Vasilis, et al.
Published: (2024)
by: Siomos, Vasilis, et al.
Published: (2024)
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
by: Siomos, Vasilis, et al.
Published: (2025)
by: Siomos, Vasilis, et al.
Published: (2025)
Proof of Cloud: Data Center Execution Assurance for Confidential VMs
by: Rezabek, Filip, et al.
Published: (2025)
by: Rezabek, Filip, et al.
Published: (2025)
Visualizing Distributed Traces in Aggregate
by: Samanta, Adrita, et al.
Published: (2024)
by: Samanta, Adrita, et al.
Published: (2024)
Evaluation Framework for Centralized and Decentralized Aggregation Algorithm in Federated Systems
by: Chongder, Sumit
Published: (2025)
by: Chongder, Sumit
Published: (2025)
Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning
by: Xiao, Bingnan, et al.
Published: (2026)
by: Xiao, Bingnan, et al.
Published: (2026)
On Resilient and Efficient Linear Secure Aggregation in Hierarchical Federated Learning
by: Weng, Shudi, et al.
Published: (2026)
by: Weng, Shudi, et al.
Published: (2026)
Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning
by: Wang, Liwei, et al.
Published: (2024)
by: Wang, Liwei, et al.
Published: (2024)
Federated Learning for Medical Image Classification: A Comprehensive Benchmark
by: Zhou, Zhekai, et al.
Published: (2025)
by: Zhou, Zhekai, et al.
Published: (2025)
Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
by: Chen, Jundong, et al.
Published: (2025)
by: Chen, Jundong, et al.
Published: (2025)
Robust Federated Fine-Tuning in Heterogeneous Networks with Unreliable Connections: An Aggregation View
by: Wang, Yanmeng, et al.
Published: (2025)
by: Wang, Yanmeng, et al.
Published: (2025)
Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
by: Liang, Yipeng, et al.
Published: (2025)
by: Liang, Yipeng, et al.
Published: (2025)
Communication-Efficient Federated Fine-Tuning
by: Theologitis, Michael, et al.
Published: (2025)
by: Theologitis, Michael, et al.
Published: (2025)
HyProv: Hybrid Provenance Management for Scientific Workflows
by: Bountris, Vasilis, et al.
Published: (2025)
by: Bountris, Vasilis, et al.
Published: (2025)
FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture
by: Sobati-M, Somayeh
Published: (2025)
by: Sobati-M, Somayeh
Published: (2025)
One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning
by: Lan, Muhang, et al.
Published: (2025)
by: Lan, Muhang, et al.
Published: (2025)
CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing
by: Yang, Nan, et al.
Published: (2026)
by: Yang, Nan, et al.
Published: (2026)
Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation
by: Nguyen, Huong, et al.
Published: (2024)
by: Nguyen, Huong, et al.
Published: (2024)
TACTFL: Temporal Contrastive Training for Multi-modal Federated Learning with Similarity-guided Model Aggregation
by: Sun, Guanxiong, et al.
Published: (2025)
by: Sun, Guanxiong, et al.
Published: (2025)
Investigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical Heterogeneity
by: Amgain, Sanskar, et al.
Published: (2024)
by: Amgain, Sanskar, et al.
Published: (2024)
Skewness-Guided Pruning of Multimodal Swin Transformers for Federated Skin Lesion Classification on Edge Devices
by: Paxton, Kuniko, et al.
Published: (2025)
by: Paxton, Kuniko, et al.
Published: (2025)
Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification
by: Will, Jonathan, et al.
Published: (2025)
by: Will, Jonathan, et al.
Published: (2025)
Federated Unsupervised Visual Representation Learning via Exploiting General Content and Personal Style
by: Yang, Yuewei, et al.
Published: (2022)
by: Yang, Yuewei, et al.
Published: (2022)
FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware Aggregation
by: Yu, Zhen, et al.
Published: (2025)
by: Yu, Zhen, et al.
Published: (2025)
DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models
by: Zhang, Hanwen, et al.
Published: (2026)
by: Zhang, Hanwen, et al.
Published: (2026)
Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows
by: Lehmann, Fabian, et al.
Published: (2024)
by: Lehmann, Fabian, et al.
Published: (2024)
Validation of Various Normalization Methods for Brain Tumor Segmentation: Can Federated Learning Overcome This Heterogeneity?
by: Fiszer, Jan, et al.
Published: (2025)
by: Fiszer, Jan, et al.
Published: (2025)
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
by: Wu, Zhiyuan, et al.
Published: (2023)
by: Wu, Zhiyuan, et al.
Published: (2023)
Low-level I/O Monitoring for Scientific Workflows
by: Witzke, Joel, et al.
Published: (2024)
by: Witzke, Joel, et al.
Published: (2024)
Enhanced OpenMP Algorithm to Compute All-Pairs Shortest Path on x86 Architectures
by: Calderón, Sergio, et al.
Published: (2024)
by: Calderón, Sergio, et al.
Published: (2024)
Interactive Visualization of Proof-of-Work Consensus Protocol on Raspberry Pi
by: Ivashkevich, Anton, et al.
Published: (2025)
by: Ivashkevich, Anton, et al.
Published: (2025)
A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation
by: Ma, Yufei, et al.
Published: (2025)
by: Ma, Yufei, et al.
Published: (2025)
A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects
by: Fan, Boyu, et al.
Published: (2023)
by: Fan, Boyu, et al.
Published: (2023)
An Experimental Study of Different Aggregation Schemes in Semi-Asynchronous Federated Learning
by: Li, Yunbo, et al.
Published: (2024)
by: Li, Yunbo, et al.
Published: (2024)
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models
by: Singhal, Raghav, et al.
Published: (2024)
by: Singhal, Raghav, et al.
Published: (2024)
A Multi-Armed Bandit-Based Participant Selection Method for Federated Recommendation Systems
by: Liu, Jintao, et al.
Published: (2025)
by: Liu, Jintao, et al.
Published: (2025)
Augur: Pre-Execution Energy Prediction for Workflow Tasks in Heterogeneous Clusters
by: West, Kathleen, et al.
Published: (2026)
by: West, Kathleen, et al.
Published: (2026)
Exploring the Potential of Carbon-Aware Execution for Scientific Workflows
by: West, Kathleen, et al.
Published: (2025)
by: West, Kathleen, et al.
Published: (2025)
Communication-Efficient Distributed Deep Learning via Federated Dynamic Averaging
by: Theologitis, Michail, et al.
Published: (2024)
by: Theologitis, Michail, et al.
Published: (2024)
Decentralized Semantic Federated Learning for Real-Time Public Safety Tasks: Challenges, Methods, and Directions
by: Li, Baosheng, et al.
Published: (2025)
by: Li, Baosheng, et al.
Published: (2025)
Similar Items
-
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
by: Siomos, Vasilis, et al.
Published: (2024) -
FedCLAM: Client Adaptive Momentum with Foreground Intensity Matching for Federated Medical Image Segmentation
by: Siomos, Vasilis, et al.
Published: (2025) -
Proof of Cloud: Data Center Execution Assurance for Confidential VMs
by: Rezabek, Filip, et al.
Published: (2025) -
Visualizing Distributed Traces in Aggregate
by: Samanta, Adrita, et al.
Published: (2024) -
Evaluation Framework for Centralized and Decentralized Aggregation Algorithm in Federated Systems
by: Chongder, Sumit
Published: (2025)