Summary of Algorithms For Collaborative Machine Learning Under Statistical Heterogeneity, by Seok-ju Hahn
Algorithms for Collaborative Machine Learning under Statistical Heterogeneityby Seok-Ju HahnFirst submitted to arxiv on: 31…
Algorithms for Collaborative Machine Learning under Statistical Heterogeneityby Seok-Ju HahnFirst submitted to arxiv on: 31…
ShieldGemma: Generative AI Content Moderation Based on Gemmaby Wenjun Zeng, Yuchi Liu, Ryan Mullins, Ludovic…
On the Problem of Text-To-Speech Model Selection for Synthetic Data Generation in Automatic Speech Recognitionby…
Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AIby Lingxi Cui,…
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharingby Eugenio Lomurno, Matteo MatteucciFirst submitted to arxiv on:…
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarityby Kanghyun Choi, Hye…
Self-Directed Synthetic Dialogues and Revisions Technical Reportby Nathan Lambert, Hailey Schoelkopf, Aaron Gokaslan, Luca Soldaini,…
Machine Unlearning using a Multi-GAN based Modelby Amartya Hatua, Trung T. Nguyen, Andrew H. SungFirst…
Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and futureby Sai Puppala,…
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animationby Zhenzhi Wang, Yixuan Li, Yanhong Zeng,…