Image de couverture de livre

EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tsouvalas, Vasileios, Mohammadi, Samaneh, Balador, Ali, Ozcelebi, Tanir, Flammini, Francesco, Meratnia, Nirvana
Format:	Preprint
Publié:	2024
Sujets:	Cryptography and Security Distributed, Parallel, and Cluster Computing Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

EFU: Enforcing Federated Unlearning via Functional Encryption
par: Mohammadi, Samaneh, et autres
Publié: (2025)

Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation
par: Tsouvalas, Vasileios, et autres
Publié: (2024)

Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach
par: Fudala, Timo, et autres
Publié: (2025)

Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs
par: Mohammadi, Samaneh, et autres
Publié: (2025)

Many-Task Federated Fine-Tuning via Unified Task Vectors
par: Tsouvalas, Vasileios, et autres
Publié: (2025)

ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
par: Farahani, Reza, et autres
Publié: (2026)

Faster Parallel Triangular Maximally Filtered Graphs and Hierarchical Clustering
par: Raphael, Steven, et autres
Publié: (2024)

Megha: Decentralized Global Fair Scheduling for Federated Clusters
par: Thiyyakat, Meghana, et autres
Publié: (2021)

Asynchronous Federated Clustering with Unknown Number of Clusters
par: Zhang, Yunfan, et autres
Publié: (2024)

DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters
par: Bai, Haoyu, et autres
Publié: (2024)

FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks
par: Liu, Zhuocheng, et autres
Publié: (2025)

Federated K-means Clustering
par: Garst, Swier, et autres
Publié: (2023)

Federated Temporal Graph Clustering
par: Zhou, Zihao, et autres
Publié: (2024)

Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning
par: Yu, Liangkun, et autres
Publié: (2024)

ClusterFusion++: Expanding Cluster-Level Fusion to Full Transformer-Block Decoding
par: Jin, ChiHeng, et autres
Publié: (2026)

FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
par: Islam, Md Sirajul, et autres
Publié: (2024)

Efficient Data Labeling and Optimal Device Scheduling in HWNs Using Clustered Federated Semi-Supervised Learning
par: Hamood, Moqbel, et autres
Publié: (2024)

A Scalable Clustered Architecture for Cyber-Physical Systems
par: Cabral, Bernardo
Publié: (2024)

SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Super-Networks
par: Asif, Abdullah Al, et autres
Publié: (2026)

A Bayesian Framework for Clustered Federated Learning
par: Wu, Peng, et autres
Publié: (2024)

Scheduling for On-Board Federated Learning with Satellite Clusters
par: Razmi, Nasrin, et autres
Publié: (2024)

DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering
par: Jaramillo-Civill, Mariona, et autres
Publié: (2025)

Predictable LLM Serving on GPU Clusters
par: Darzi, Erfan, et autres
Publié: (2025)

Dalek: An Unconventional and Energy-Aware Heterogeneous Cluster
par: Cassagne, Adrien, et autres
Publié: (2025)

Checkpoint and Restart: An Energy Consumption Characterization in Clusters
par: Moran, Marina, et autres
Publié: (2024)

Syndeo: Portable Ray Clusters with Secure Containerization
par: Li, William, et autres
Publié: (2024)

PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training
par: Golden, Alicia, et autres
Publié: (2025)

Totoro$^+$: An Adaptive and Scalable Edge Federated Learning System
par: Ching, Cheng-Wei, et autres
Publié: (2026)

Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters
par: Mo, Zizhao, et autres
Publié: (2024)

DeepOps & SLURM: Your GPU Cluster Guide
par: Majee, Arindam
Publié: (2024)

Optimizing Memory Allocation in Distributed Clusters with Predictive Modeling
par: Bader, Jonathan, et autres
Publié: (2026)

Toward Sustainability-Aware LLM Inference on Edge Clusters
par: Rajashekar, Kolichala, et autres
Publié: (2025)

Eva: Cost-Efficient Cloud-Based Cluster Scheduling
par: Chang, Tzu-Tao, et autres
Publié: (2025)

Solutions for Distributed Memory Access Mechanism on HPC Clusters
par: Meizner, Jan, et autres
Publié: (2025)

TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
par: Gohari, Rasoul Jafari, et autres
Publié: (2024)

CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework
par: Zhang, Yu, et autres
Publié: (2021)

NAC-QFL: Noise Aware Clustered Quantum Federated Learning
par: Sahu, Himanshu, et autres
Publié: (2024)

HERL: Tiered Federated Learning with Adaptive Homomorphic Encryption using Reinforcement Learning
par: Tang, Jiaxang, et autres
Publié: (2024)

Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters
par: Samak, Tanmay Vilas, et autres
Publié: (2024)

FedOptimus: Optimizing Vertical Federated Learning for Scalability and Efficiency
par: Shrivastava, Nikita, et autres
Publié: (2025)