[REFAI Seminar 02/02/23] Fully-Homomorphic-Encryption-based Privacy-Preserving Machine Learning

[REFAI Seminar 04/20/23] Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

[REFAI Seminar 10/03/23] A New Paradigm of Efficiency, Security and Privacy by Design for Intellient

Machine Learning with Encrypted Data | Homomorphic Encryption

11. Introduction to Machine Learning

AI And Machine Learning Career Path | How to Start Career in AI And Machine Learning | Simplilearn

[REFAI Seminar 03/30/23] Efficient Trillion Parameter Scale Training and Inference with DeepSpeed

Privacy-Preserving Machine Learning with Fully Homomorphic Encryption, Luis Montero @ingo_ZK

Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn

[REFAI Seminar 10/03/23] Analytics and Machine Learning Systems on Graphs

[REFAI Seminar 10/24/23] Ultra Low-Power Machine Learning via Hardware and Software Co-design

Wireless Fading Channel Estimation – Mean and Variance of Pilot Training Based Maximum Likel

Machine Learning over Encrypted Data with Fully Homomorphic Encryption

[REFAI Seminar 02/20/24] A Computer Engneering Journey to Optical NN: Infra., Algo., and Co-design

Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng

Part 1 Introduction to practical FHE and the TFHE scheme - Ilaria Chillotti, Simons Institute 2020

MIT prof. explains cryptography, quantum computing, & homomorphic encryption

Federated Learning: Machine Learning on Decentralized Data (Google I/O'19)

[REFAI Seminar 12/05/23] Light-AI Interaction: Bridging Photonics and Artificial Intelligence

[REFAI Seminar 03/19/24] Parameter Efficient LLM Inference with LoRAX

MIT Introduction to Deep Learning | 6.S191