Building models on decentralized data? Federated Averaging (FedAvg) + gradient compression reduce communication overhead by 94%+ π. Handle non-IID data, add DP for privacy. Code it with TensorFlow Federated. Guide here π
Alex Nguyen on April 22, 2025
Communication-Efficient Learning of Deep Networks from Decentralized Data: dev.to/alex-nguyen-duy-anh/communi...