Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Pal, Shivam, Gupta, Aishwarya, Sarwar, Saqib, Rai, Piyush |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
by: Pal, Shivam, et al.
Published: (2025)
by: Pal, Shivam, et al.
Published: (2025)
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
by: Khan, Sarwar
Published: (2024)
by: Khan, Sarwar
Published: (2024)
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance
by: Mukherjee, Avideep, et al.
Published: (2024)
by: Mukherjee, Avideep, et al.
Published: (2024)
Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion
by: Zhang, Yuguang, et al.
Published: (2025)
by: Zhang, Yuguang, et al.
Published: (2025)
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
by: Banerjee, Soumya, et al.
Published: (2023)
by: Banerjee, Soumya, et al.
Published: (2023)
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
by: Venkataramanan, Aishwarya, et al.
Published: (2025)
by: Venkataramanan, Aishwarya, et al.
Published: (2025)
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
by: Luo, Mengen, et al.
Published: (2024)
by: Luo, Mengen, et al.
Published: (2024)
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques
by: Pande, Shivam
Published: (2024)
by: Pande, Shivam
Published: (2024)
Second-order difference subspace
by: Fukui, Kazuhiro, et al.
Published: (2024)
by: Fukui, Kazuhiro, et al.
Published: (2024)
SubFLOT: Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport
by: Jiang, Zheng, et al.
Published: (2026)
by: Jiang, Zheng, et al.
Published: (2026)
Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies
by: Choi, Seokeon, et al.
Published: (2025)
by: Choi, Seokeon, et al.
Published: (2025)
WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models
by: Feng, Tao, et al.
Published: (2025)
by: Feng, Tao, et al.
Published: (2025)
Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach
by: Malladi, Lakshmi Aishwarya, et al.
Published: (2025)
by: Malladi, Lakshmi Aishwarya, et al.
Published: (2025)
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
by: Deng, Wenlong, et al.
Published: (2023)
by: Deng, Wenlong, et al.
Published: (2023)
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
by: Manna, Siladittya, et al.
Published: (2021)
by: Manna, Siladittya, et al.
Published: (2021)
Personalized Longitudinal Medical Report Generation via Temporally-Aware Federated Adaptation
by: Zhu, He, et al.
Published: (2026)
by: Zhu, He, et al.
Published: (2026)
Q-Drift: Quantization-Aware Drift Correction for Diffusion Model Sampling
by: Ryu, Sooyoung, et al.
Published: (2026)
by: Ryu, Sooyoung, et al.
Published: (2026)
Prompting Forgetting: Unlearning in GANs via Textual Guidance
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
by: Nagasubramaniam, Piyush, et al.
Published: (2025)
FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
by: Bo, Weihao, et al.
Published: (2025)
by: Bo, Weihao, et al.
Published: (2025)
Personalized Image Generation via Human-in-the-loop Bayesian Optimization
by: Rajagopalan, Rajalaxmi, et al.
Published: (2026)
by: Rajagopalan, Rajalaxmi, et al.
Published: (2026)
Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance
by: Guan, Yunchuan, et al.
Published: (2025)
by: Guan, Yunchuan, et al.
Published: (2025)
LightPneumoNet: Lightweight Pneumonia Classifier
by: Chauhan, Neilansh, et al.
Published: (2025)
by: Chauhan, Neilansh, et al.
Published: (2025)
Personalized Vision via Visual In-Context Learning
by: Jiang, Yuxin, et al.
Published: (2025)
by: Jiang, Yuxin, et al.
Published: (2025)
FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQA
by: Sarwar, Nobin
Published: (2025)
by: Sarwar, Nobin
Published: (2025)
TechING: Towards Real World Technical Image Understanding via VLMs
by: Nadeem, Tafazzul, et al.
Published: (2026)
by: Nadeem, Tafazzul, et al.
Published: (2026)
ProfilingAgent: Profiling-Guided Agentic Reasoning for Adaptive Model Optimization
by: Jafari, Sadegh, et al.
Published: (2025)
by: Jafari, Sadegh, et al.
Published: (2025)
Addressing Data Scarcity in 3D Trauma Detection through Self-Supervised and Semi-Supervised Learning with Vertex Relative Position Encoding
by: Chaudhary, Shivam, et al.
Published: (2026)
by: Chaudhary, Shivam, et al.
Published: (2026)
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching
by: Wu, Nannan, et al.
Published: (2024)
by: Wu, Nannan, et al.
Published: (2024)
Sparse Uncertainty-Informed Sampling from Federated Streaming Data
by: Röder, Manuel, et al.
Published: (2024)
by: Röder, Manuel, et al.
Published: (2024)
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
by: Sun, Yuxia, et al.
Published: (2025)
by: Sun, Yuxia, et al.
Published: (2025)
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
by: He, Yuchen, et al.
Published: (2024)
by: He, Yuchen, et al.
Published: (2024)
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
by: Linardos, Akis, et al.
Published: (2025)
by: Linardos, Akis, et al.
Published: (2025)
HEART-PFL: Stable Personalized Federated Learning under Heterogeneity with Hierarchical Directional Alignment and Adversarial Knowledge Transfer
by: Kim, Minjun, et al.
Published: (2026)
by: Kim, Minjun, et al.
Published: (2026)
Towards Personalized Quantum Federated Learning for Anomaly Detection
by: Rahman, Ratun, et al.
Published: (2025)
by: Rahman, Ratun, et al.
Published: (2025)
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models
by: Luo, Jun, et al.
Published: (2024)
by: Luo, Jun, et al.
Published: (2024)
Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
by: Gupta, Madhav, et al.
Published: (2025)
by: Gupta, Madhav, et al.
Published: (2025)
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections
by: Kirchner, Max, et al.
Published: (2025)
by: Kirchner, Max, et al.
Published: (2025)
Personalized Federated Learning via Backbone Self-Distillation
by: Wang, Pengju, et al.
Published: (2024)
by: Wang, Pengju, et al.
Published: (2024)
Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates
by: Mandal, Shaurjya, et al.
Published: (2026)
by: Mandal, Shaurjya, et al.
Published: (2026)
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification
by: Deng, Zhipeng, et al.
Published: (2024)
by: Deng, Zhipeng, et al.
Published: (2024)
Similar Items
-
Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space
by: Pal, Shivam, et al.
Published: (2025) -
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
by: Khan, Sarwar
Published: (2024) -
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance
by: Mukherjee, Avideep, et al.
Published: (2024) -
Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion
by: Zhang, Yuguang, et al.
Published: (2025) -
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
by: Banerjee, Soumya, et al.
Published: (2023)