Imagen de Portada

Noiseless Privacy-Preserving Decentralized Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Biswas, Sayan, Even, Mathieu, Kermarrec, Anne-Marie, Massoulie, Laurent, Pires, Rafael, Sharma, Rishi, de Vos, Martijn
Formato:	Preprint
Publicado:	2024
Materias:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Cryptography and Security Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
por: Cyffers, Edwige, et al.
Publicado: (2022)

Boosting Asynchronous Decentralized Learning with Model Fragmentation
por: Biswas, Sayan, et al.
Publicado: (2024)

Fair Decentralized Learning
por: Biswas, Sayan, et al.
Publicado: (2024)

Low-Cost Privacy-Preserving Decentralized Learning
por: Biswas, Sayan, et al.
Publicado: (2024)

On the Inherent Anonymity of Gossiping
por: Guerraoui, Rachid, et al.
Publicado: (2023)

DeZent: Decentralized z-Anonymity with Privacy-Preserving Coordination
por: Brunn, Carolin, et al.
Publicado: (2026)

Decentralized Learning Made Practical with Client Sampling
por: de Vos, Martijn, et al.
Publicado: (2023)

SmartphoneDemocracy: Privacy-Preserving E-Voting on Decentralized Infrastructure using Novel European Identity
por: Jóźwik, Michał, et al.
Publicado: (2025)

Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
por: Yang, Hansi, et al.
Publicado: (2024)

Decentralized Learning Made Easy with DecentralizePy
por: Dhasade, Akash, et al.
Publicado: (2023)

HarMoEny: Efficient Multi-GPU Inference of MoE Models
por: Doucet, Zachary, et al.
Publicado: (2025)

On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
por: Ye, Haoxiang, et al.
Publicado: (2023)

Energy-Aware Decentralized Learning with Intermittent Model Training
por: Dhasade, Akash, et al.
Publicado: (2024)

HHEML: Hybrid Homomorphic Encryption for Privacy-Preserving Machine Learning on Edge
por: Chan, Yu Hin, et al.
Publicado: (2025)

Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System
por: Madduri, Ravi, et al.
Publicado: (2024)

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
por: Tanbhir, Gazi, et al.
Publicado: (2025)

Head Count: Privacy-Preserving Face-Based Crowd Monitoring
por: Marzani, Fatemeh, et al.
Publicado: (2026)

Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
por: Jiang, Siyang, et al.
Publicado: (2024)

DP2Guard: A Lightweight and Byzantine-Robust Privacy-Preserving Federated Learning Scheme for Industrial IoT
por: Han, Baofu, et al.
Publicado: (2025)

Practical Federated Learning without a Server
por: Dhasade, Akash, et al.
Publicado: (2025)

Get More for Less in Decentralized Learning Systems
por: Dhasade, Akash, et al.
Publicado: (2023)

Privacy-Preserving Data Processing in Cloud : From Homomorphic Encryption to Federated Analytics
por: Sarraf, Gaurav, et al.
Publicado: (2026)

HFIPay: Privacy-Preserving, Cross-Chain Cryptocurrency Payments to Human-Friendly Identifiers
por: Wang, Jian Sheng
Publicado: (2026)

Odontoceti: Ultra-Fast DAG Consensus with Two Round Commitment
por: Vos, Preston Vander
Publicado: (2025)

RollupTheCrowd: Leveraging ZkRollups for a Scalable and Privacy-Preserving Reputation-based Crowdsourcing Platform
por: Bendada, Ahmed Mounsf Rafik, et al.
Publicado: (2024)

A Hitchhiker's Guide to Privacy-Preserving Digital Payment Systems: A Survey on Anonymity, Confidentiality, and Auditability
por: Nardelli, Matteo, et al.
Publicado: (2025)

Decentralized Collaborative Learning Framework with External Privacy Leakage Analysis
por: Idé, Tsuyoshi, et al.
Publicado: (2024)

PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy
por: Zhang, Xianzhi, et al.
Publicado: (2024)

Secure and Privacy-Preserving Vertical Federated Learning
por: Jin, Shan, et al.
Publicado: (2026)

Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA
por: Aguié, Pierre, et al.
Publicado: (2026)

No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
por: Xing, Zhibo, et al.
Publicado: (2024)

Lightweight Federated Learning with Differential Privacy and Straggler Resilience
por: Hong, Shu, et al.
Publicado: (2024)

An Approach for Decentralized Authentication in Networks of UAVs
por: Jäger, Nicholas, et al.
Publicado: (2024)

AdChain: Decentralized Header Bidding
por: Nassirzadeh, Behkish, et al.
Publicado: (2024)

Walrus: An Efficient Decentralized Storage Network
por: Danezis, George, et al.
Publicado: (2025)

BotDetect: A Decentralized Federated Learning Framework for Detecting Financial Bots on the EVM Blockchains
por: Bendada, Ahmed Mounsf Rafik, et al.
Publicado: (2025)

Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
por: Zhang, Baolei, et al.
Publicado: (2025)

Trusted Execution Environment for Decentralized Process Mining
por: Goretti, Valerio, et al.
Publicado: (2023)

Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems
por: Mangala, N, et al.
Publicado: (2025)

AegisBlock: A Privacy-Preserving Medical Research Framework using Blockchain
por: Garg, Calkin, et al.
Publicado: (2025)