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Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training
RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity
Week 03 | FedAvg and Baseline Federated Algorithms | Theory and Applications of Federated Learning
Heterogeneity-Aware Algorithms for Federated Optimization | Prof. Gauri Joshi | CMU
AI4OPT Seminar Series: Optimization Algorithms for Heterogeneous Clients in Federated Learning
Feducation Series, Federated Learning with Dynamic Resource Availability, by Shiqiang Wang
Anastasiia Koloskova - FedMuon: Federated Learning with Bias-corrected LMO-based Optimization
Self-Adaptive Federated Learning In Internet of Things Systems: A Review
Federated Learning with Random Communication and Dynamic Aggregation
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Last Updated: September 28, 2026
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A Google TechTalk, 2020/7/30, presented by Zachary Charles, Google ABSTRACT: OpenMined is an open-source community whose goal is to make the world more privacy-preserving by lowering the ... Paper by Shengyuan Ye, Liekang Zeng, Qiong Wu, Ke Luo, Qingze Fang and Xu Chen, presented at ICPP'22. Title: Heterogeneity-Aware Algorithms for FIU solid lab's Federated Education (FeDucation) Webinar Series Dr. Shiqiang Wang, IBM TJ Watson Anastasiia Koloskova, Assistant Professor at the University of Zurich, presents FedMuon, a In this episode, we dive deep into the cutting-edge advancements in the intersection of Title: FedOpt++ - Federation Beyond Uniform
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