DistributedML'23 (CoNEXT'23) - Opening Remarks

(14:18)

DistributedML'23 (CoNEXT'23) - Panel Session

(1:16:54)

Distributed ML with H2O feat. Erin LeDell | Stanford MLSys Seminar Episode 23

(1:5:35)

Distributed ML Talk @ UC Berkeley

(52:3)

Aurélien Bellet - Better Privacy Guarantees for Decentralized Federated Learning

(44:51)

Dimitris Stripelis - MetisFL

(14:25)

Grigory Malinovsky - Server Stepsizes and Sampling w/out Replacement Help in Federated Optimization

(13:51)

Konstantin Burlachenko - Federated Learning is Better with Non-Homomorphic Encryption

(21:7)

OSDI '23 - ExoFlow: A Universal Workflow System for Exactly-Once DAGs

(16:3)

Tushar Krishna - Chakra and ASTRA-sim

(53:36)

Lars Wulfert - Adaptive Decentralized Federated Gossip Learning for Resource-Constrained IoT Devices

(11:30)

Sanjay Sri Vallabh Singapuram - Flamingo

(9:33)

Ditto: Efficient Serverless Analytics with Elastic Parallelism (SIGCOMM'23 S7)

(9:23)