Notes on Federated Learning and Differential Privacy 2026-05-31 · privacy-preserving...
Notes on Federated Learning and Differential Privacy
2026-05-31 · privacy-preserving ML
Working notes on building federated learning (FL) from scratch, what actually breaks under
Non-IID data, and how differential privacy (DP) and secure aggregation fit on top —
including the honest negative results that the marketing slides leave out. They follow the
Federated learning (FL) is no longer a research curiosity—it’s a practical response to a hard constraint: the most valuable data…
Federated learning (FL) research often begins with a deceptively simple question: What should we try next? A new aggregation…
Step by Step Guide to Build and Compare FedAvg and FedProx Federated Learning on Non-IID CIFAR-10 with NVIDIA FLARE
It started with a question that kept me awake at 3 AM: *How do we train AI to optimize energy flows across a farm’s microgrid…
**Privacy-Preserving Local LLM Inference for Developer Tooling** --- ## The Problem The proliferation of large language models…
It was 3 AM on a Tuesday when I found myself staring at a heatmap of underwater pressure distributions, generated not from…
