Split Learning - Edgentiq

PubSub-VFL: Enhancing Collaborative AI Training Efficiency with a Publisher/Subscriber Architecture

AMAQ: Smarter Data Compression for Efficient Large Language Model Training

Optimizing AI Training: A Dual Compression Strategy for Vision Transformers in Split Learning

ZORRO: Securing Collaborative AI Training with Client-Side Verification

SL-ACC: Enhancing Split Learning with Adaptive Data Compression

spot_img

Recently Added

VFLAIR-LLM: Securing Large Language Models with Split Learning for Private Data

Read more

P3SL: Enabling Personalized and Private AI Training on Diverse Edge Devices

Read more

Optimizing AI on Tiny Devices: A Deep Dive into Split Learning Performance

Read more

HuSCF-GAN: A New Framework for Distributed Generative AI in Diverse Environments

Read more

Gen AI News and Updates

spot_img

- Advertisement -

PubSub-VFL: Enhancing Collaborative AI Training Efficiency with a Publisher/Subscriber Architecture

October 15, 2025

AMAQ: Smarter Data Compression for Efficient Large Language Model Training

October 8, 2025

Optimizing AI Training: A Dual Compression Strategy for Vision Transformers in Split Learning

September 19, 2025