MPC-TP: SMPAI: Secure Multiparty Computation for Federated Learning - Antigoni Polychroniadou

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MPC-TP: SMPAI: Secure 1:18:46

MPC-TP: SMPAI: Secure Multiparty Computation for Federated Learning - Antigoni Polychroniadou

Introduction to Multi-Party 0:05:44

Introduction to Multi-Party Computation (MPC or SMPC)

s-70: Multiparty Computation 0:39:26

s-70: Multiparty Computation

Round Optimal Secure 0:11:53

Round Optimal Secure Multi Party Computation

Two Round Multiparty 0:25:10

Two Round Multiparty Computation via Multi-key FHE

Ep. 6 – 0:02:55

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Succinct Non-Interactive Secure 0:20:19

Succinct Non-Interactive Secure Computation

Limits of Practical 0:25:28

Limits of Practical Sublinear Secure Computation

USENIX Security '20 0:12:21

USENIX Security '20 - Secure Multi-party Computation of Differentially Private Median

Federated Learning and 0:02:24

Federated Learning and MPC in Tandem - Thomas Attema

On the Communication 0:21:55

On the Communication required for Unconditionally Secure Multiplication

Get Ready for 0:01:25

Get Ready for Confidential Computing and Secure Computation (Gradient Flow Snapshot #92)

OW2online20 - Cryptography: 0:10:42

OW2online20 - Cryptography: zero knowledge proof and multi party computation( Andrea D'Intino )

Laconic Oblivious Transfer 0:23:02

Laconic Oblivious Transfer and its Applications

From ATLAS to 0:45:55

From ATLAS to TurboPack: Efficient Honest Majority MPC

Honeycrisp: Large-scale Differentially 0:20:22

Honeycrisp: Large-scale Differentially Private Aggregation Without a Trusted Core

JADS Inspire: Secure 0:53:00

JADS Inspire: Secure Multi Party Computation

[1B] Private Stream 0:17:09

[1B] Private Stream Aggregation with Labels in the Standard Model

PATE-AAE: Incorporating Adversarial 0:20:15

PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles fo...

JPMatch Privacy Preserving 0:29:01

JPMatch Privacy Preserving Auctions for Stock Trading

Survey on Federated 0:28:18

Survey on Federated Learning Towards Privacy Preserving AI

Communication-Efficient Parallel Split 0:09:05

Communication-Efficient Parallel Split Learning

Demystifying Decentralized Fair 0:40:01

Demystifying Decentralized Fair Models for Federated Machine Learning

Private Multi-Group Aggregation 0:18:06

Private Multi-Group Aggregation (20 min presentation)