InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
GitHub

DePasqualeOrg/mlx-audio-plus

The best audio processing library built on Apple's MLX framework, providing fast and efficient text-to-speech (TTS), speech-to-text (STT), and speech-to-speech (STS) on Apple Silicon. Kokoro Fast, ...
IEEE

FedBiF: Communication-Efficient Federated Learning via Bits Freezing

Abstract: Federated learning (FL) is an emerging distributed machine learning paradigm that enables collaborative model training without sharing local data. Despite its advantages, FL suffers from ...
IEEE

Over-the-Air Federated Edge Learning with Error-Feedback One-Bit Quantization and Power Control

Abstract: Over-the-air federated edge learning (Air-FEEL) is a communication-efficient framework for distributed machine learning using training data distributed at edge devices. This framework ...