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Blog & Insights
Sharing experiences from building AI systems, research discoveries, and lessons learned from working with trillion-dollar enterprises.
Federated Learning · Research
The "Slowest Client" Problem: How Adaptive Compression is Rescuing Decentralized AI
Why static compression is holding back Federated Learning—and how adaptive distortion-aware protocols achieve up to 89% data reduction while preserving model accuracy.
Federated Learning
Lossy Compression
Distributed Systems
Green AI
Tutorial
A Beginner's Guide to Error-Bounded Lossy Compressors
Understanding SZ2, ZFP, TTHRESH, and FPZIP—the compression algorithms powering efficient scientific computing and distributed machine learning.
Tutorial
Compression
Scientific Computing
Coming Soon
Building Production AI at Scale
Insights from deploying machine learning models for enterprise clients, including challenges, solutions, and lessons learned.
MLOps
Enterprise AI