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Martin Jaggi: Workshop on Communication Efficient Distributed Optimization
Federated Proximal Optimization
Week 02 | Optimization Principles for Federated Learning | Theory and Applications of FL
Week 04 | Data Heterogeneity and Advanced Federated Optimization
Week 03 | FedAvg and Baseline Federated Algorithms | Theory and Applications of Federated Learning
Optimization and simulation. Optimization - part 3
Aryan Mokhtari: Workshop on Communication Efficient Distributed Optimization
OM PriCon2020: Adaptive Federated Optimization - Zachary Charles
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
OASIS+ Phase II Logistics Domain (SB & UNR): Scoring + Optimization - Webinar by GDIC - Jan 27 2026
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Last Updated: September 27, 2026
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Summary
Peter Richtarik (KAUST) simons.berkeley.edu/talks/peter-richtarik-kaust-2026-01-27-0 A Google TechTalk, 2020/7/30, presented by Zachary Charles, Google ABSTRACT: Communication-Efficient Distributed Deep Learning. Variant: FedProx; FedNova; SCAFFOLD; FedDyn; q-FedAvg Field: Privacy-Preserving and Towards Communication-Efficient Personalized OpenMined is an open-source community whose goal is to make the world more privacy-preserving by lowering the ...
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