FLUE: Federated Learning with Un-Encrypted model weights
Fuente:
arXiv
Saved in:
| Main Author: | Atallah, Elie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Federated Learning via Byzantine Filtering over Encrypted Updates
by: Bendoukha, Adda Akram, et al.
Published: (2026)
by: Bendoukha, Adda Akram, et al.
Published: (2026)
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
by: Xue, Jiaqi, et al.
Published: (2025)
by: Xue, Jiaqi, et al.
Published: (2025)
Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices
by: Li, Hangyu, et al.
Published: (2025)
by: Li, Hangyu, et al.
Published: (2025)
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
by: Chen, Xu-Yang, et al.
Published: (2024)
by: Chen, Xu-Yang, et al.
Published: (2024)
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction
by: He, Peilin, et al.
Published: (2025)
by: He, Peilin, et al.
Published: (2025)
Pairwise Markov Chains for Volatility Forecasting
by: Azeraf, Elie
Published: (2024)
by: Azeraf, Elie
Published: (2024)
Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis
by: Suh, Jihoon, et al.
Published: (2025)
by: Suh, Jihoon, et al.
Published: (2025)
GETA: Generalized Encrypted Traffic Analysis
by: Gunasekara, Ransika, et al.
Published: (2026)
by: Gunasekara, Ransika, et al.
Published: (2026)
Federated Learning for distribution skewed data using sample weights
by: Nguyen, Hung, et al.
Published: (2024)
by: Nguyen, Hung, et al.
Published: (2024)
Monitoring fairness in machine learning models that predict patient mortality in the ICU
by: van Schaik, Tempest A., et al.
Published: (2024)
by: van Schaik, Tempest A., et al.
Published: (2024)
The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
by: Zhao, Yuqi, et al.
Published: (2025)
by: Zhao, Yuqi, et al.
Published: (2025)
Blind Federated Learning without initial model
by: Salmeron, Jose L., et al.
Published: (2024)
by: Salmeron, Jose L., et al.
Published: (2024)
Fair Active Learning: Solving the Labeling Problem in Insurance
by: Elie, Romuald, et al.
Published: (2021)
by: Elie, Romuald, et al.
Published: (2021)
Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation Techniques
by: Zion, Yehonatan, et al.
Published: (2024)
by: Zion, Yehonatan, et al.
Published: (2024)
Curriculum Learning for Mesh-based simulations
by: Garnier, Paul, et al.
Published: (2025)
by: Garnier, Paul, et al.
Published: (2025)
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning
by: Zhang, Haozhen, et al.
Published: (2024)
by: Zhang, Haozhen, et al.
Published: (2024)
Mitigating Data Exfiltration Attacks through Layer-Wise Learning Rate Decay Fine-Tuning
by: Thellier, Elie, et al.
Published: (2025)
by: Thellier, Elie, et al.
Published: (2025)
Efficient Encrypted Computation in Convolutional Spiking Neural Networks with TFHE
by: Guo, Longfei, et al.
Published: (2026)
by: Guo, Longfei, et al.
Published: (2026)
Efficient Skip Connections Realization for Secure Inference on Encrypted Data
by: Drucker, Nir, et al.
Published: (2023)
by: Drucker, Nir, et al.
Published: (2023)
CryptoTrain: Fast Secure Training on Encrypted Dataset
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic
by: Zeleke, Sileshi Nibret, et al.
Published: (2025)
by: Zeleke, Sileshi Nibret, et al.
Published: (2025)
Bias in the Shadows: Explore Shortcuts in Encrypted Network Traffic Classification
by: Wang, Chuyi, et al.
Published: (2026)
by: Wang, Chuyi, et al.
Published: (2026)
On the physics of nested Markov models: a generalized probabilistic theory perspective
by: Zhang, Xingjian, et al.
Published: (2024)
by: Zhang, Xingjian, et al.
Published: (2024)
Efficient Decoding Methods for Language Models on Encrypted Data
by: Avitan, Matan, et al.
Published: (2025)
by: Avitan, Matan, et al.
Published: (2025)
Client-supervised Federated Learning: Towards One-model-for-all Personalization
by: Yan, Peng, et al.
Published: (2024)
by: Yan, Peng, et al.
Published: (2024)
Multi-Task Reinforcement Learning for Quadrotors
by: Xing, Jiaxu, et al.
Published: (2024)
by: Xing, Jiaxu, et al.
Published: (2024)
Adaptively Point-weighting Curriculum Learning
by: Li, Wensheng, et al.
Published: (2025)
by: Li, Wensheng, et al.
Published: (2025)
Cluster weighted models for functional data
by: Anton, Cristina, et al.
Published: (2025)
by: Anton, Cristina, et al.
Published: (2025)
ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping
by: Pirillo, Alberto, et al.
Published: (2025)
by: Pirillo, Alberto, et al.
Published: (2025)
On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer
by: Aljalbout, Elie, et al.
Published: (2023)
by: Aljalbout, Elie, et al.
Published: (2023)
Traveling Salesman-Based Token Ordering Improves Stability in Homomorphically Encrypted Language Models
by: Rho, Donghwan, et al.
Published: (2025)
by: Rho, Donghwan, et al.
Published: (2025)
High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
by: Maloney, Vivian, et al.
Published: (2023)
by: Maloney, Vivian, et al.
Published: (2023)
Toward Understanding In-context vs. In-weight Learning
by: Chan, Bryan, et al.
Published: (2024)
by: Chan, Bryan, et al.
Published: (2024)
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning
by: Ahn, Jin-Hyun, et al.
Published: (2022)
by: Ahn, Jin-Hyun, et al.
Published: (2022)
Zero-Shot Learning for Obsolescence Risk Forecasting
by: Saad, Elie, et al.
Published: (2025)
by: Saad, Elie, et al.
Published: (2025)
Full-chip CMP modelling based on Fully Convolutional Network leveraging White Light Interferometry
by: Exbrayat, Jules, et al.
Published: (2026)
by: Exbrayat, Jules, et al.
Published: (2026)
Relaxed Contrastive Learning for Federated Learning
by: Seo, Seonguk, et al.
Published: (2024)
by: Seo, Seonguk, et al.
Published: (2024)
Decoupled Contrastive Learning for Federated Learning
by: Kim, Hyungbin, et al.
Published: (2025)
by: Kim, Hyungbin, et al.
Published: (2025)
MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification
by: Chen, Yuxuan, et al.
Published: (2024)
by: Chen, Yuxuan, et al.
Published: (2024)
Building a Robust Risk-Based Access Control System to Combat Ransomware's Capability to Encrypt
by: Begovic, Kenan, et al.
Published: (2026)
by: Begovic, Kenan, et al.
Published: (2026)
Similar Items
-
Robust Federated Learning via Byzantine Filtering over Encrypted Updates
by: Bendoukha, Adda Akram, et al.
Published: (2026) -
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
by: Xue, Jiaqi, et al.
Published: (2025) -
Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices
by: Li, Hangyu, et al.
Published: (2025) -
MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
by: Chen, Xu-Yang, et al.
Published: (2024) -
PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction
by: He, Peilin, et al.
Published: (2025)