Yan Gao

Game Based SBCA Cloud Resource Adjustment Method

2019

The performance of SBCA (SOA Based Cloud Applications, a typical form of cloud applications) can be adjusted by changing the occupied amount of resources. How to adjust the amount of resources occupied by SBCA that …

On-device Federated Learning with Flower

2021 · arXiv (Cornell University)

Federated Learning (FL) allows edge devices to collaboratively learn a shared prediction model while keeping their training data on the device, thereby decoupling the ability to do machine learning from the need to store data …

ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

2022 · HAL (Le Centre pour la Communication Scientifique Directe)

International audience

Towards the Law of Capacity Gap in Distilling Language Models

2025

Language model (LM) distillation aims at distilling the knowledge in a large teacher LM to a small student one. As a critical issue facing LM distillation, a superior student often arises from a teacher of …

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models

2025

Large Language Models (LLMs) have achieved state-of-the-art results across diverse domains, yet their development remains reliant on vast amounts of publicly available data, raising concerns about data scarcity and the lack of access to domain-specific, …

Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation

2019

We present a neural approach called IRNet for complex and cross-domain Text-to-SQL. IR-Net aims to address two challenges: 1) the mismatch between intents expressed in natural language (NL) and the implementation details in SQL; 2) …