UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
Fuente:
arXiv
Saved in:
| Main Authors: | Pala, Furkan, Rekik, Islem |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GNN-based Unified Deep Learning
by: Pala, Furkan, et al.
Published: (2025)
by: Pala, Furkan, et al.
Published: (2025)
NEURAL: Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation
by: Joshi, Devvrat, et al.
Published: (2025)
by: Joshi, Devvrat, et al.
Published: (2025)
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
by: Hassani, Atefe, et al.
Published: (2024)
by: Hassani, Atefe, et al.
Published: (2024)
Rethinking Graph Super-resolution: Dual Frameworks for Topological Fidelity
by: Singh, Pragya, et al.
Published: (2025)
by: Singh, Pragya, et al.
Published: (2025)
GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation
by: Luo, Yitong, et al.
Published: (2025)
by: Luo, Yitong, et al.
Published: (2025)
DeltaGNN: Graph Neural Network with Information Flow Control
by: Mancini, Kevin, et al.
Published: (2025)
by: Mancini, Kevin, et al.
Published: (2025)
X-Node: Self-Explanation is All We Need
by: Sengupta, Prajit, et al.
Published: (2025)
by: Sengupta, Prajit, et al.
Published: (2025)
HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature
by: Joshi, Devvrat, et al.
Published: (2026)
by: Joshi, Devvrat, et al.
Published: (2026)
Strongly Topology-preserving GNNs for Brain Graph Super-resolution
by: Singh, Pragya, et al.
Published: (2024)
by: Singh, Pragya, et al.
Published: (2024)
Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction
by: Idrissova, Shekhnaz, et al.
Published: (2025)
by: Idrissova, Shekhnaz, et al.
Published: (2025)
Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
by: Soussia, Mayssa, et al.
Published: (2025)
by: Soussia, Mayssa, et al.
Published: (2025)
FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
by: Sengupta, Prajit, et al.
Published: (2025)
by: Sengupta, Prajit, et al.
Published: (2025)
CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
by: Soussia, Mayssa, et al.
Published: (2025)
by: Soussia, Mayssa, et al.
Published: (2025)
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data
by: Pistos, Michalis, et al.
Published: (2024)
by: Pistos, Michalis, et al.
Published: (2024)
ByzFL: Research Framework for Robust Federated Learning
by: González, Marc, et al.
Published: (2025)
by: González, Marc, et al.
Published: (2025)
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
by: Le, Qi, et al.
Published: (2024)
by: Le, Qi, et al.
Published: (2024)
Self-supervised Graph Transformer with Contrastive Learning for Brain Connectivity Analysis towards Improving Autism Detection
by: Leng, Yicheng, et al.
Published: (2025)
by: Leng, Yicheng, et al.
Published: (2025)
Reservoir-Based Graph Convolutional Networks
by: Soussia, Mayssa, et al.
Published: (2026)
by: Soussia, Mayssa, et al.
Published: (2026)
Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?
by: Rekik, Islem
Published: (2026)
by: Rekik, Islem
Published: (2026)
FedUMM: A General Framework for Federated Learning with Unified Multimodal Models
by: Su, Zhaolong, et al.
Published: (2026)
by: Su, Zhaolong, et al.
Published: (2026)
DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning
by: Zhang, Kaichuang, et al.
Published: (2025)
by: Zhang, Kaichuang, et al.
Published: (2025)
BlazeFL: Fast and Deterministic Federated Learning Simulation
by: Azuma, Kitsuya, et al.
Published: (2026)
by: Azuma, Kitsuya, et al.
Published: (2026)
OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization
by: Kou, Wei-Bin, et al.
Published: (2026)
by: Kou, Wei-Bin, et al.
Published: (2026)
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
by: Liu, Xiaoyuan, et al.
Published: (2022)
by: Liu, Xiaoyuan, et al.
Published: (2022)
IP-FL: Incentivized and Personalized Federated Learning
by: Khan, Ahmad Faraz, et al.
Published: (2023)
by: Khan, Ahmad Faraz, et al.
Published: (2023)
Equitable Federated Learning with Activation Clustering
by: Upadhyay, Antesh, et al.
Published: (2024)
by: Upadhyay, Antesh, et al.
Published: (2024)
A Unified Framework for Continual Learning and Unlearning
by: Chatterjee, Romit, et al.
Published: (2024)
by: Chatterjee, Romit, et al.
Published: (2024)
ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
by: Chen, Duowen, et al.
Published: (2026)
by: Chen, Duowen, et al.
Published: (2026)
De-VertiFL: A Solution for Decentralized Vertical Federated Learning
by: Celdrán, Alberto Huertas, et al.
Published: (2024)
by: Celdrán, Alberto Huertas, et al.
Published: (2024)
GENE-FL: Gene-Driven Parameter-Efficient Dynamic Federated Learning
by: Guo, Shunxin, et al.
Published: (2025)
by: Guo, Shunxin, et al.
Published: (2025)
LiD-FL: Towards List-Decodable Federated Learning
by: Liu, Hong, et al.
Published: (2024)
by: Liu, Hong, et al.
Published: (2024)
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning
by: Alsulaimawi, Zahir
Published: (2024)
by: Alsulaimawi, Zahir
Published: (2024)
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
by: Chen, Geng, et al.
Published: (2024)
by: Chen, Geng, et al.
Published: (2024)
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
by: Zehtabi, Shahryar, et al.
Published: (2024)
by: Zehtabi, Shahryar, et al.
Published: (2024)
FL-Defender: Combating Targeted Attacks in Federated Learning
by: Jebreel, Najeeb, et al.
Published: (2022)
by: Jebreel, Najeeb, et al.
Published: (2022)
ProFL: Performative Robust Optimal Federated Learning
by: Zheng, Xue, et al.
Published: (2024)
by: Zheng, Xue, et al.
Published: (2024)
PASTA: A Unified Framework for Offline Assortment Learning
by: Dong, Juncheng, et al.
Published: (2025)
by: Dong, Juncheng, et al.
Published: (2025)
A Unified Framework for Zero-Shot Reinforcement Learning
by: Di Ventura, Jacopo, et al.
Published: (2025)
by: Di Ventura, Jacopo, et al.
Published: (2025)
A Unified Geometric Framework for Weighted Contrastive Learning
by: Vock, Raphael, et al.
Published: (2026)
by: Vock, Raphael, et al.
Published: (2026)
BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity
by: Guerra-Manzanares, Alejandro, et al.
Published: (2025)
by: Guerra-Manzanares, Alejandro, et al.
Published: (2025)
Similar Items
-
GNN-based Unified Deep Learning
by: Pala, Furkan, et al.
Published: (2025) -
NEURAL: Attention-Guided Pruning for Unified Multimodal Resource-Constrained Clinical Evaluation
by: Joshi, Devvrat, et al.
Published: (2025) -
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks
by: Hassani, Atefe, et al.
Published: (2024) -
Rethinking Graph Super-resolution: Dual Frameworks for Topological Fidelity
by: Singh, Pragya, et al.
Published: (2025) -
GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation
by: Luo, Yitong, et al.
Published: (2025)