Federated Learning One World Seminar (FLOW)

This seminar provides a global online forum for the dissemination of the latest scientific research results in all aspects of Federated Learning.

[Vladimir Vlejd Macko @vlejd]

Unstructured weight #sparsity made practical.
50% unstructured weight sparsity was considered too low for real GPU speed up without specific hardware support (like @cerebras).
With @bozavlado we built MACKO-SpMV - a new matrix format + SpMV kernel to change that. 🧵

[Anastasiia Koloskova @Ana_koloskova]

Our research group at the University of Zurich (Switzerland) is seeking a PhD candidate in intersection of theory and practice in areas such as distributed optimization, federated learning, machine learning, privacy, or unlearning.

Apply here! https://t.co/aa52sG2q2h

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 127th FLOW talk is on Wednesday (May 21) at **1 pm UTC.**

Please register for our mailing list: https://t.co/yjqbcw45Ps.
FLOW Calendar: https://t.co/cnuLHbYzvz.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 126th FLOW talk is on Wednesday (April 30) at **1 pm UTC.**

Please register for our mailing list: https://t.co/yjqbcw45Ps. FLOW Calendar: https://t.co/cnuLHbYzvz.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 125th FLOW talk is on Wednesday (April 16) at **1 pm UTC.**

Please register for our mailing list: https://t.co/yjqbcw45Ps. FLOW Calendar: https://t.co/cnuLHbYzvz.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 124th FLOW talk is on Wednesday (April 9) at **1 pm UTC.**

Please register for our mailing list: https://t.co/yjqbcw45Ps.
FLOW Calendar: https://t.co/cnuLHbYzvz.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 123rd FLOW talk is on Wednesday (March 26) at **1 pm UTC.**

Constantin Philippenko (INRIA) will discuss "Compressed and distributed least-squares regression: convergence rates."

Please register for our mailing list: https://t.co/yjqbcw45Ps.

[Preslav Nakov @preslav_nakov]

Fully funded PhD and MSc scholarships at MBZUAI!

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 122nd FLOW talk is on Wednesday (23rd October) at **5 pm UTC**.

Ziyue Xu (@NVIDIAAI) will discuss "Federated Learning in The Age of Foundation Models."

Please register for our mailing list at https://t.co/yjqbcw3xZU.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 121st FLOW talk is on Wednesday (16th October) at **1 pm UTC**.

Eduard Gorbunov (@mbzuai) will discuss "FL Can Find Friends That Are Advantageous and Help with Low-Recourse Machine Translation."

Please register for our mailing list at https://t.co/yjqbcw3xZU.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 120th FLOW talk is on Wednesday (9th October) at **5 pm UTC**.

Nic Lane (@CaMLSys, @flwrlabs) will discuss "The Future of Large Language Models (and AI) is Federated."

Please register for our mailing list at https://t.co/yjqbcw45Ps.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 119th FLOW talk is on Wednesday (17th July) at **1 pm UTC**.

Geovani Rizk (EPFL) will discuss "Overcoming the Challenges of Batch Normalization in Federated Learning."

Please register for our mailing list at https://t.co/yjqbcw3xZU.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 118th FLOW talk is on Wednesday (10th July) at **1 pm UTC**.

Xiaowen Jiang (CISPA) will discuss "Fast Proximal-Point methods for Federated Optimization."

Please register to our mailing list: https://t.co/yjqbcw3xZU.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 117th FLOW talk is on Wednesday (12th June) at **5 pm UTC**.

Kumar Kshitij Patel (TTIC) will discuss "Revisiting the Convergence Theory for Local SGD and the Role of Personalization."

Please register to our mailing list: https://t.co/yjqbcw45Ps.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 116th FLOW talk is on Wednesday (27th March) at **1 pm UTC**.

Grigory Malinovsky (KAUST) will discuss "Byzantine Robustness and Partial Participation Can Be Achieved Simultaneously."

Please register to our mailing list: https://t.co/yjqbcw3xZU.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 115th FLOW talk is on Wednesday (11th March) at **5 pm UTC**.

Mariel Werner (UC Berkeley) will discuss "Provably Personalized and Robust Federated Learning ."

Please register to our mailing list: https://t.co/yjqbcw3xZU.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 114th FLOW talk is on Wednesday (6th March) at **5 pm UTC**.

Xinyi Xu (NUS) will discuss "Fairness and Incentives for Data Sharing and Collaborative Learning."

Please register to our mailing list: https://t.co/yjqbcw3xZU.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 113th FLOW talk is on Wednesday (21st February) at **5 pm UTC**.

Shiqiang Wang (@IBMResearch) will discuss "How to Make Federated Learning Work with Challenging Client Participation Patterns?"

Please register to our mailing list: https://t.co/yjqbcw3xZU.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 112th FLOW talk is on Wednesday (7th February) at **1 pm UTC**.

Eduard Gorbunov (@mbzuai) will discuss "Variance Reduction is an Antidote to Byzantines."

Please register to our mailing list: https://t.co/yjqbcw3xZU.

[Federated Learning One World Seminar (FLOW) @flow_seminar]

📢: The 111th FLOW talk is on Wednesday (15th November) at **1 pm UTC**.

Steve Laskaridis (@brave) will discuss "The Future of Consumer Edge-AI Computing."

Please register to our mailing list: https://t.co/yjqbcw3xZU.