Speakers
Alireza Behtash
Staff AI Scientist,
webai
Ali is leading cutting-edge research in distributed AI and on-device machine learning optimization. As a passionate quantum physicist, entrepreneur, and engineer, he has driven R&D initiatives on large language model optimization, quantization, and novel architectures. Ali has developed webFrame, a groundbreaking framework for decomposing, running, and training large language models on Apple silicon in distributed environments. His work focuses on federated learning solutions with differential privacy, enterprise knowledge graphs for edge environments, and on-device SLMs for business applications, representing the forefront of privacy-preserving distributed AI.
Sessions
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08-Oct-2025AI & Data in Practice TheatreFederated Learning for Edge Devices: Soft-Embeddings, Retrieval models, and Private RAG
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