huangtiansheng

awesome_LLM-harmful-fine-tuning-papers

A survey on harmful fine-tuning issue for large language model

Booster

This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation".

Lisa

This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)

Vaccine

This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)

Antidote_gh_page

bagua

Bagua is a flexible and performant distributed training algorithm development framework.

bagua-core

Core communication lib for Bagua.

fedslr

huangtiansheng.github.io

Kuiper

Kuiper: Efficient Federated Learning via Guided Participant Selection

huangtiansheng/fedslr

huangtiansheng/huangtiansheng.github.io

huangtiansheng/Kuiper

Kuiper: Efficient Federated Learning via Guided Participant Selection

huangtiansheng/Antidote_gh_page

huangtiansheng/bagua

Bagua is a flexible and performant distributed training algorithm development framework.

huangtiansheng/bagua-core

Core communication lib for Bagua.

huangtiansheng/Booster_gh_page

huangtiansheng/evadb

Database system for AI-powered apps

huangtiansheng/FedML

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

huangtiansheng/NAFA

Neural nework-based Adaptive processor Frequency Adjustment (NAFA) for MEC

huangtiansheng/Vaccine_gh_page

huangtiansheng/webproject

springboot+mybatis+shiro+thymeleaf

huangtiansheng/huangtiansheng