:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nakarmi, Suprim, Son, Junggab, Zhao, Yue, Xiong, Zuobin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.00407
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Watch Your Step: Information Injection in Diffusion Models via Shadow Timestep Embedding
by: Huang, An, et al.
Published: (2026)

Deep-learning Assisted Detection and Quantification of (oo)cysts of Giardia and Cryptosporidium on Smartphone Microscopy Images
by: Nakarmi, Suprim, et al.
Published: (2023)

FedRGL: Robust Federated Graph Learning for Label Noise
by: Li, De, et al.
Published: (2024)

GONE: Structural Knowledge Unlearning via Neighborhood-Expanded Distribution Shaping
by: Dahal, Chahana, et al.
Published: (2026)

Towards an Algebraic Framework For Approximating Functions Using Neural Network Polynomials
by: Rafi, Shakil, et al.
Published: (2024)

FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-level Anomaly Detection
by: Zhao, Yunfeng, et al.
Published: (2026)

FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
by: Kou, Zhiqiang, et al.
Published: (2026)

EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression
by: Cheng, Tong, et al.
Published: (2025)

Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks
by: Dai, Jiazhu, et al.
Published: (2025)

H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
by: Gao, Jiechao, et al.
Published: (2024)

FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning
by: Shen, Jie, et al.
Published: (2023)

FedSheafHN: Personalized Federated Learning on Graph-structured Data
by: Liang, Wenfei, et al.
Published: (2024)

FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks
by: Lin, Zheng, et al.
Published: (2023)

FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
by: Ji, Xinyuan, et al.
Published: (2024)

FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
by: Song, Jiarui, et al.
Published: (2025)

FedQNN: Federated Learning using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels
by: Wang, Fali, et al.
Published: (2024)

FedNoisy: Federated Noisy Label Learning Benchmark
by: Liang, Siqi, et al.
Published: (2023)

FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients
by: Qiu, Xinchi, et al.
Published: (2024)

Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
by: Cui, Nan, et al.
Published: (2023)

FedGraph: A Research Library and Benchmark for Federated Graph Learning
by: Yao, Yuhang, et al.
Published: (2024)

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference
by: Khare, Alind, et al.
Published: (2023)

FedMT: Federated Learning with Mixed-type Labels
by: Zhang, Qiong, et al.
Published: (2022)

Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks
by: Li, Kunhao, et al.
Published: (2025)

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification
by: Chen, Hui, et al.
Published: (2024)

Inference-friendly Graph Compression for Graph Neural Networks
by: Fan, Yangxin, et al.
Published: (2025)

FedGT: Federated Node Classification with Scalable Graph Transformer
by: Zhang, Zaixi, et al.
Published: (2024)

FedEHR-Gen: Federated Synthetic Time-Series EHR Generation via Latent Space Alignment and Distribution-Aware Aggregation
by: Bai, Jun, et al.
Published: (2026)

FedECA: Federated External Control Arms for Causal Inference with Time-To-Event Data in Distributed Settings
by: Terrail, Jean Ogier du, et al.
Published: (2023)

FedCova: Robust Federated Covariance Learning Against Noisy Labels
by: Zhong, Xiangyu, et al.
Published: (2026)

ER-MIA: Black-Box Adversarial Memory Injection Attacks on Long-Term Memory-Augmented Large Language Models
by: Piehl, Mitchell, et al.
Published: (2026)

GraphPI: Efficient Protein Inference with Graph Neural Networks
by: Ma, Zheng, et al.
Published: (2026)

eFedLLM: Efficient LLM Inference Based on Federated Learning
by: Ding, Shengwen, et al.
Published: (2024)

FedUV: Uniformity and Variance for Heterogeneous Federated Learning
by: Son, Ha Min, et al.
Published: (2024)

FedIA: Towards Domain-Robust Aggregation in Federated Graph Learning
by: Zhou, Zhanting, et al.
Published: (2025)

Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?
by: Nimase, Ojas, et al.
Published: (2026)

FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
by: Yu, Seunghun, et al.
Published: (2025)

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
by: Sun, Zhaobin, et al.
Published: (2024)

FedGIG: Graph Inversion from Gradient in Federated Learning
by: Xiao, Tianzhe, et al.
Published: (2024)

GraphNarrator: Generating Textual Explanations for Graph Neural Networks
by: Pan, Bo, et al.
Published: (2024)