Cover Image

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ceyani, Emir, Xie, Han, Buyukates, Baturalp, Yang, Carl, Avestimehr, Salman
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
by: Yang, Mengwei, et al.
Published: (2024)

Understanding Communication Backends in Cross-Silo Federated Learning
by: Ziashahabi, Amir, et al.
Published: (2026)

C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System
by: Addison, Parker, et al.
Published: (2024)

PiPNN: Ultra-Scalable Graph-Based Nearest Neighbor Indexing
by: Rubel, Tobias, et al.
Published: (2026)

Exact Nearest-Neighbor Search on Energy-Efficient FPGA Devices
by: Dazzi, Patrizio, et al.
Published: (2025)

A Model-agnostic Strategy to Mitigate Embedding Degradation in Personalized Federated Recommendation
by: Shen, Jiakui, et al.
Published: (2025)

Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection
by: Turkmen, Yigit, et al.
Published: (2026)

Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
by: Ozfatura, Emre, et al.
Published: (2024)

FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement
by: Yao, Dezhong, et al.
Published: (2024)

FedFlex: Federated Learning for Diverse Netflix Recommendations
by: Lankester, Sven, et al.
Published: (2025)

Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training
by: Lee, Sunwoo, et al.
Published: (2024)

Far From Sight, Far From Mind: Inverse Distance Weighting for Graph Federated Recommendation
by: Khouas, Aymen Rayane, et al.
Published: (2025)

CleANN: Efficient Full Dynamism in Graph-based Approximate Nearest Neighbor Search
by: Zhang, Ziyu, et al.
Published: (2025)

Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting
by: Li, Yi, et al.
Published: (2026)

SocFedGPT: Federated GPT-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks
by: Puppala, Sai, et al.
Published: (2024)

One Pool, Two Caches: Adaptive HBM Partitioning for Accelerating Generative Recommender Serving
by: Yu, Wenjun, et al.
Published: (2026)

FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
by: Wan, Sheng, et al.
Published: (2023)

FedFQ: Federated Learning with Fine-Grained Quantization
by: Li, Haowei, et al.
Published: (2024)

A Context-Aware Knowledge Graph Platform for Stream Processing in Industrial IoT
by: Sciarroni, Monica Marconi, et al.
Published: (2026)

FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
by: Wu, Zhiyuan, et al.
Published: (2023)

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model
by: Faiyaz, Amir, et al.
Published: (2025)

pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup
by: Saadati, Yasaman, et al.
Published: (2025)

A Big Data Architecture for Early Identification and Categorization of Dark Web Sites
by: Pastor-Galindo, Javier, et al.
Published: (2024)

An OPC UA-based industrial Big Data architecture
by: Hirsch, Eduard, et al.
Published: (2023)

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
by: Alam, Samiul, et al.
Published: (2023)

Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory
by: Cheng, Rongxin, et al.
Published: (2024)

Stalactite: Toolbox for Fast Prototyping of Vertical Federated Learning Systems
by: Zakharova, Anastasiia, et al.
Published: (2024)

FedQuad: Adaptive Layer-wise LoRA Deployment and Activation Quantization for Federated Fine-Tuning
by: Li, Rukuo, et al.
Published: (2025)

Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing
by: Dhasade, Akash, et al.
Published: (2025)

A Large-Scale Web Search Dataset for Federated Online Learning to Rank
by: Gregoriadis, Marcel, et al.
Published: (2025)

pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning
by: Yi, Liping, et al.
Published: (2024)

Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation
by: Qin, Jiangcheng, et al.
Published: (2025)

Fast Iterative Graph Computing with Updated Neighbor States
by: Zhou, Yijie, et al.
Published: (2024)

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
by: Zhang, Tuo, et al.
Published: (2023)

pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning
by: Yi, Liping, et al.
Published: (2023)

Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation
by: Martin, Ioana Ramona, et al.
Published: (2026)

FedAgg: Adaptive Federated Learning with Aggregated Gradients
by: Yuan, Wenhao, et al.
Published: (2023)

FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware Aggregation
by: Yu, Zhen, et al.
Published: (2025)

FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients
by: Liang, Han, et al.
Published: (2024)

SOLANET: Distributed Neighbor Graph Construction on GPU-Accelerated Systems
by: Iwabuchi, Keita, et al.
Published: (2026)