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Communication efficient Learning of Deep Networks from Decentralized Data
Week 03 | FedAvg and Baseline Federated Algorithms | Theory and Applications of Federated Learning
Peter Richtarik - The Resolution of a Question Related to Local Training in Federated Learning
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Last Updated: September 30, 2026
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Gauri Joshi, Assistant Professor Electrical and Computer Engineering, Carnegie Mellon University Abstract: The future of machine ... Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen and Gong Zhang. In this talk, we first focus on Abstract: With the rapid development of the Internet-of-Things (IoT), data from intelligent devices is exploding at unprecedented ... SenSys Technical Session 1 - Distributed Computing and Q-GADMM: Quantized Group ADMM for This work is presented as a term project for machine FedAvg • Important hyperparameters in FedAvg • Cross-device vs. cross-silo Presentation given by Peter Richtarik on 5th October 2022 in the one world seminar on the mathematics of machine
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