FedScale is a scalable and extensible open-source federated learning (FL) platform.
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Updated
Dec 18, 2023 - Python
FedScale is a scalable and extensible open-source federated learning (FL) platform.
Deep Learning Energy Measurement and Optimization
A scalable & efficient active learning/data selection system for everyone.
A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems
Optimal Sparse Decision Trees
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
GraphSnapShot: Caching Local Structure for Fast Graph Learning
Code for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]
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