FedMef: Towards Memory-efficient Federated Dynamic Pruning Paper • 2403.14737 • Published Mar 21, 2024
Sherry: Hardware-Efficient 1.25-Bit Ternary Quantization via Fine-grained Sparsification Paper • 2601.07892 • Published Jan 12 • 5
AngelSlim: A more accessible, comprehensive, and efficient toolkit for large model compression Paper • 2602.21233 • Published Feb 7 • 3
Exploring the AI Obedience: Why is Generating a Pure Color Image Harder than CyberPunk? Paper • 2603.00166 • Published Feb 26
Tequila: Trapping-free Ternary Quantization for Large Language Models Paper • 2509.23809 • Published Sep 28, 2025 • 4
PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home Clusters Paper • 2504.08791 • Published Apr 7, 2025 • 141
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices Paper • 2410.00531 • Published Oct 1, 2024 • 33
Distributed Pruning Towards Tiny Neural Networks in Federated Learning Paper • 2212.01977 • Published Dec 5, 2022 • 1