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Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning
Badr-Eddine Cherief-Abdellatif: Information theoretic generalization bounds for SGD
Distributed Optimization and Federated Learning in Emerging Smart Networks - POSTDOC PROJECT
Federated Learning in Big Data Over Networks
Lecture 9: Information-Theoretic Generalization Bounds for Stochastic Gradient Descent (English)
Federated, Distributed, and Few-Shot Learning: From Servers to Devices
Efficient Federated Learning - Michael Kamp
Dr. Wojciech Samek - Towards Communication-Efficient and Personalized Federated Learning
NGN Seminar - Ahmed Sayed (QMUL) - Towards Practical and Efficient Federated Learning
In’Tro: What else is leaked when eavesdropping federated learning? – Chuan Xu (COATI)
FLOW Seminar #24: Gregory Valiant (Stanford) Statistical Challenges in the Federated Setting
Towards Trustworthy Federated Learning