Federated learning

Jul 28, 2026

Green AI: Making Machine Learning Environmentally Sustainable • Charles Humble • YOW! 2025

Charles Humble explores the significant environmental impact of AI, particularly generative AI, on global carbon emissions. He offers practical, actionable strategies across the entire AI lifecycle—from project planning and data collection to training and deployment—to reduce this footprint. Key recommendations include questioning the necessity of AI solutions, choosing open-source models, leveraging carbon-aware computing for demand shifting, employing model compression techniques like distillation and quantization, and integrating sustainability as a fundamental architectural principle in software engineering.

Mar 23, 2026

Kubernetes at the Edge • Charles Humble & Hannah Foxwell • GOTO 2026

Charles Humble discusses his e-book "Kubernetes at the Edge," exploring the definition of edge computing, its practical applications in industries like agriculture and healthcare, vendor selection strategies, and the critical importance of Day-2 operations. The conversation also delves into how edge computing promotes sustainability and concludes with a thoughtful examination of the tech industry's ethical responsibilities in the age of generative AI.

Oct 17, 2025

Efficient Secure Aggregation for Federated Learning

Varun Madathil from Yale University presents Tacita, a novel, single-server protocol for secure aggregation in Federated Learning (FL). Tacita is designed to address the unique constraints of the FL environment, such as client dropouts and the absence of client-to-client communication. The protocol achieves one-shot execution with constant-size communication and robustness against dropouts by introducing two new cryptographic primitives: succinct multi-key linearly homomorphic threshold signatures (MKLHTS) and a homomorphic variant of Silent Threshold Encryption.