Stanford Seminar - How to Adapt and Flow

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FLOW Seminar #43: Hongyi Wang (Un. of Wisconsin - Madison) On the efficiency and robustness of FL

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FLOW Seminar #79: Anastasia Koloskova (EPFL) Sharper Convergence Guarantees for Asynchronous SGD

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FLOW Seminar #1: Ahmed Khaled (Cairo University), On the convergence of Local SGD

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FLOW Seminar #105: Peter Richtárik (KAUST) On the 5th Generation of Local Training Methods in FL

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FLOW Seminar #70: Abolfazl Hashemi (Purdue University) On the Convergence of Diff. Private FL

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FLOW Seminar #112: Eduard Gorbunov (MBZUAI) Variance Reduction for Byzantine-Robust Optimization

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Stocks | How to Analyze a Stock, 2025

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FLOW Seminar #95: Chandra Thapa (CSIRO Data61) Combining federated learning and split learning

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FLOW Seminar #48: Eric Moulines (Ecole Pol.) Quantised Langevin Stochastic Dynamics for Bayesian FL

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FLOW Seminar #104: Dan Alistarh (IST Austria) FedAvg Made Asynchronous and Communication-Efficient

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FLOW Seminar #100: Amrita Roy Chowdhury (UC San Diego) Ensuring Integrity for Federated Learning

(42:40)

FLOW Seminar #76: Anwar Hithnawi (ETH) Security and Robustness of Collaborative Learning Systems

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FLOW Seminar #47: Haoyu Zhao (Princeton) A Fast Local SGD for Communication-Efficient FL

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Model United Nations Flow of Debate Training Video

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FLOW Seminar #52: Aymeric Dieuleveut (École Polytechnique) Compression Frameworks for FL

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FLOW Seminar #109: Qinbin Li (UC Berkeley) A Federated Learning System For Trees

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FLOW Seminar #73: Jonas Geiping (Uni. of Maryland) New Threat Models for Privacy Attacks in FL

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FLOW Seminar #101: Martin Takáč (MBZUAI) A Second-Order Framework via Compression and Sketching

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