Explore privacy-preserving algorithms for decentralized collaborative learning in this comprehensive lecture by Dr Aurélien Bellet from Inria. Delve into key principles of gossip algorithms, personalized learning, and model propagation in distributed settings. Examine the convergence results for asynchronous gossip algorithms and their application in broadcast settings. Investigate the formulation of collaborative learning problems and the implementation of differential privacy to ensure data protection. Gain insights into large-scale machine learning, distributed algorithms, and privacy-preserving techniques applicable to various domains including NLP, speech recognition, and computer vision.