Imagen de Portada

P4: Towards private, personalized, and Peer-to-Peer learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Maheri, Mohammad Mahdi, Siby, Sandra, Abdollahi, Sina, Borovykh, Anastasia, Haddadi, Hamed
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-to-Peer Learning
por: Maheri, Mohammad Mahdi, et al.
Publicado: (2025)

GuaranTEE: Towards Attestable and Private ML with CCA
por: Siby, Sandra, et al.
Publicado: (2024)

An Early Experience with Confidential Computing Architecture for On-Device Model Protection
por: Abdollahi, Sina, et al.
Publicado: (2025)

GuardNet: Graph-Attention Filtering for Jailbreak Defense in Large Language Models
por: Forough, Javad, et al.
Publicado: (2025)

Verifiable Unlearning on Edge
por: Maheri, Mohammad M, et al.
Publicado: (2025)

TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
por: Maheri, Mohammad M, et al.
Publicado: (2025)

Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
por: Cadet, Xavier F., et al.
Publicado: (2024)

ZK-APEX: Zero-Knowledge Approximate Personalized Unlearning with Executable Proofs
por: Maheri, Mohammad M, et al.
Publicado: (2025)

WARP: Weight Teleportation for Attack-Resilient Unlearning Protocols
por: Maheri, Mohammad M, et al.
Publicado: (2025)

Concept Reachability in Diffusion Models: Beyond Dataset Constraints
por: Rodriguez, Marta Aparicio, et al.
Publicado: (2025)

Leave-one-out Distinguishability in Machine Learning
por: Ye, Jiayuan, et al.
Publicado: (2023)

Generalization in LLM Problem Solving: The Case of the Shortest Path
por: Tong, Yao, et al.
Publicado: (2026)

Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
por: Salmeron, Jose L., et al.
Publicado: (2024)

Harvest: Opportunistic Peer-to-Peer GPU Caching for LLM Inference
por: Gopal, Nikhil, et al.
Publicado: (2026)

Backdoor Attacks in Peer-to-Peer Federated Learning
por: Syros, Georgios, et al.
Publicado: (2023)

Peer-to-Peer Learning Dynamics of Wide Neural Networks
por: Chaudhari, Shreyas, et al.
Publicado: (2024)

Diffusion Models Preferentially Memorize Prototypical Examples or: Why Does My Diffusion Model Love Slop?
por: Rodriguez, Marta Aparicio, et al.
Publicado: (2026)

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus
por: Rodríguez-Betancourt, Esteban, et al.
Publicado: (2026)

Towards Real-Time ECG and EMG Modeling on $μ$NPUs
por: Millar, Josh, et al.
Publicado: (2026)

Peer-to-Peer Deep Learning for Beyond-5G IoT
por: Pranav, Srinivasa, et al.
Publicado: (2023)

MAR-FL: A Communication Efficient Peer-to-Peer Federated Learning System
por: Mulitze, Felix, et al.
Publicado: (2025)

Learning Peer Influence Probabilities with Linear Contextual Bandits
por: Faruk, Ahmed Sayeed, et al.
Publicado: (2025)

Robust Hallucination Detection in LLMs via Adaptive Token Selection
por: Niu, Mengjia, et al.
Publicado: (2025)

Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms
por: Shah, Mian Ibad Ali, et al.
Publicado: (2024)

Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework
por: Wang, Dong, et al.
Publicado: (2025)

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

PeerRank: Autonomous LLM Evaluation Through Web-Grounded, Bias-Controlled Peer Review
por: Margalit, Yanki, et al.
Publicado: (2026)

Scalable Fairness Shaping with LLM-Guided Multi-Agent Reinforcement Learning for Peer-to-Peer Electricity Markets
por: Jadhav, Shrenik, et al.
Publicado: (2025)

Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
por: Xu, Zhangchen, et al.
Publicado: (2024)

SINBAD: Saliency-informed detection of breakage caused by ad blocking
por: Chehade, Saiid El Hajj, et al.
Publicado: (2024)

PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
por: Jung, Jaewon, et al.
Publicado: (2024)

ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review
por: Goyal, Palash, et al.
Publicado: (2026)

Machine Learning with Confidential Computing: A Systematization of Knowledge
por: Mo, Fan, et al.
Publicado: (2022)

Energy-Aware Deep Learning on Resource-Constrained Hardware
por: Millar, Josh, et al.
Publicado: (2025)

DyPBP: Dynamic Peer Beneficialness Prediction for Cryptocurrency P2P Networking
por: Sakib, Nazmus, et al.
Publicado: (2025)

Resilient Peer-to-peer Learning based on Adaptive Aggregation
por: Bhowmick, Chandreyee, et al.
Publicado: (2025)

Peering Partner Recommendation for ISPs using Machine Learning
por: Alam, Md Ibrahim Ibne, et al.
Publicado: (2025)

Learning from Peers: Collaborative Ensemble Adversarial Training
por: Dengjin, Li, et al.
Publicado: (2025)

AgenTEE: Confidential LLM Agent Execution on Edge Devices
por: Abdollahi, Sina, et al.
Publicado: (2026)

Terracorder: Sense Long and Prosper
por: Millar, Josh, et al.
Publicado: (2024)