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From the 2 of 10 linked papers with an AI index.

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cs.LG2026

CST: Collaborative Selective Transmission for Communication-Efficient Multimodal Edge Inference

Hai Chi, Junrui Zhang, Rui Ning +4

Collaborative multimodal inference improves edge perception by combining observations from distributed sensing devices, but transmitting high-dimensional helper representations inc…

cs.LG2026

Laplace-Bridged Randomized Smoothing for Fast Certified Robustness

Miao Lin, MD Saifur Rahman Mazumder, Feng Yu +2

Randomized Smoothing (RS) offers formal guarantees for arbitrary base classifiers but faces two key practical bottlenecks: (i) it often relies on noise-augmented training…

cs.LG2026

Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment

Yiming Du, Ziyu Wang, Jian Li +2

Incomplete multi-view clustering (IMVC) aims to discover shared cluster structures from multi-view data with partial observations. The core challenges lie in accurately imputing mi…

cs.LG2025

PRIVEE: Privacy-Preserving Vertical Federated Learning Against Feature Inference Attacks

Sindhuja Madabushi, Ahmad Faraz Khan, Haider Ali +6

Vertical Federated Learning (VFL) enables collaborative model training across organizations that share common user samples but hold disjoint feature spaces. Despite its potential,…

cs.LG2025

DictPFL: Efficient and Private Federated Learning on Encrypted Gradients

Jiaqi Xue, Mayank Kumar, Yuzhang Shang +5

Federated Learning (FL) enables collaborative model training across institutions without sharing raw data. However, gradient sharing still risks privacy leakage, such as gradient i…

cs.LG2024

Comet: A Communication-efficient and Performant Approximation for Private Transformer Inference

Xiangrui Xu, Qiao Zhang, Rui Ning +2

The prevalent use of Transformer-like models, exemplified by ChatGPT in modern language processing applications, underscores the critical need for enabling private inference essent…