Flow Seminar

Stanford Seminar - How to Adapt and Flow

Stanford Online

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

Federated Learning One World Seminar

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

Federated Learning One World Seminar

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

Federated Learning One World Seminar

FLOW Seminar #103: Jianyu Wang (Apple) On the Unreasonable Effectiveness of Federated Averaging

Federated Learning One World Seminar

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

Federated Learning One World Seminar

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

Federated Learning One World Seminar

The Real Estate Investing Step You Can't Skip #realestate

Agents Building Cashflow with Randal McLeaird

Model United Nations Flow of Debate Training Video

Model UN Ukraine

FLOW Seminar #120: Nic Lane (Cambridge, Flower Labs) The Future of LLMs is Federated

Federated Learning One World Seminar

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

Federated Learning One World Seminar

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

Federated Learning One World Seminar

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

Federated Learning One World Seminar

FLOW Seminar #87: Praneeth Vepakomma (MIT) Recently engineered variants of split learning

Federated Learning One World Seminar

FLOW Seminar #20: Eduard Gorbunov (MIPT) Linearly Converging Error Compensated SGD

Federated Learning One World Seminar

FLOW Seminar #90: Michał Grudzień (KAUST and Oxford) Client Sampling for Local Training Methods

Federated Learning One World Seminar

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

Federated Learning One World Seminar

FLOW Seminar #40: Peter Richtárik (KAUST) Beyond Local and Gradient Methods for Federated Learning

Federated Learning One World Seminar

FLOW Seminar #23: Nicholas Lane (Cambridge) Flower: A Friendly Federated Learning Research Framework

Federated Learning One World Seminar