| 2023-03-03 | Auto-bidding in Online Advertising: Campaign Management and Fairness | 51:43 | 513 | |
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| 2023-03-03 | Tree Learning: Optimal Algorithms and Sample Complexity | 35:09 | 462 | |
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| 2023-03-03 | A Fast Algorithm for Adaptive Private Mean Estimation | 54:16 | 677 | |
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| 2023-02-13 | Piers Ridyard | CEO RDX Works | Radix Protocol | web3 talks | Dec 7th 2022 | MC: Blake DeBenon | 52:18 | 2,151 | |
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| 2023-02-10 | Sergey Gorbunov | Co-Founder Axelar | web3 talks | Jan 26th 2023 | MC: Marlon Ruiz | 36:04 | 800 | |
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| 2023-02-10 | Fast Neural Kernel Embeddings for General Activations | 33:44 | 924 | |
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| 2023-02-10 | Pathwise Conditioning and Non-Euclidean Gaussian Processes | 1:06:57 | 1,475 | |
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| 2023-02-10 | Privacy-Preserving Machine Learning with Fully Homomorphic Encryption | 42:45 | 1,973 | |
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| 2023-01-19 | Charles Hoskinson | CEO of Input Output Global | web3 talks | Jan 5th 2023 | MC: Marlon Ruiz | 47:22 | 13,760 | |
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| 2023-01-18 | Control, Confidentiality, and the Right to be Forgotten | 59:13 | 531 | |
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| 2023-01-18 | Marginal-based Methods for Differentially Private Synthetic Data | 42:49 | 240 | |
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| 2023-01-18 | On Privacy Implications of Machine Unlearning | 49:42 | 335 | |
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| 2023-01-18 | Example Memorization in Learning: Batch and Streaming | 58:11 | 230 | |
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| 2023-01-18 | Differentially Private Multi-party Data Release for Linear Regression | 57:08 | 254 | |
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| 2023-01-18 | The Saddle Point Accountant for Differential Privacy | 40:47 | 440 | |
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| 2023-01-18 | Mapping from Training Data to Predictions with Datamodels | 59:28 | 253 | |
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| 2023-01-18 | Analog vs. Digital Epsilons: Implementation Considerations Considerations for Differential Privacy | 52:07 | 141 | |
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| 2023-01-18 | Secure Self-supervised Learning | 40:27 | 260 | |
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| 2023-01-18 | Private Convex Optimization via Exponential Mechanism | 52:41 | 155 | |
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| 2023-01-18 | Federated Learning with Formal User-Level Differential Privacy Guarantees | 30:53 | 460 | |
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| 2023-01-18 | Privacy-Aware Compression for Federated Learning | 33:09 | 267 | |
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| 2023-01-18 | Heterogeneity-Aware Algorithms for Federated Optimization | 33:56 | 355 | |
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| 2023-01-18 | Welcome and Federated Learning and Analytics at Google | 31:16 | 781 | |
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| 2023-01-06 | George Tung | Founder of CryptosRus | web3 talks | Dec 1st 2022 | MC: Marlon Ruiz | 38:30 | 1,271 | |
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| 2023-01-06 | Staci Warden | CEO of Algorand Foundation | web3 talks | Nov 17 2022 | MC: Marlon Ruiz | 37:49 | 757 | |
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| 2022-10-31 | Max Shand | CEO & Founder of Serenade | web3 talks | Sep 15th 2022 | MC: Raphael Hyde | 39:07 | 602 | |
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| 2022-10-31 | Shiva Rajaraman | VP of Product at OpenSea | web3 talks | April 21st 2022 | MC: Raphael Hyde | 40:43 | 455 | |
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| 2022-10-31 | Daniel Rowland | Head of Strategy and Partnership at LANDR, Oscar-winner | web3 talks | May 5th 2022 | 50:46 | 704 | |
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| 2022-10-31 | Dan Elitzer | Co-Founder of Nascent and IDEO CoLab Ventures | web3 talks | May 12th 2022 | 41:47 | 272 | |
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| 2022-10-31 | Luke Gniwecki | VP of Product @ LandVault & Founder of Metaverski | web3 talks | May 26th 2022 | 38:41 | 213 | |
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| 2022-10-27 | Geoff Renaud | CMO & Co-founder of Invisible North & Renaud Partners | web3 talks | June 2nd 2022 | 42:31 | 437 | |
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| 2022-10-27 | Chris Nunes, Scott Clark & BC Biermann | IMMUSE Founders | web3 talks | June 9th 2022 | Raphael Hyde | 48:33 | 216 | |
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| 2022-10-27 | Alex Connolly | CTO and Co-founder at Immutable | web3 talks | July 26th 2022 | MC: Raphael Hyde | 44:51 | 568 | |
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| 2022-10-27 | Graham Friedman | Sir Director at Republic Crypto | web3 talks | Aug 4th 2022 | MC: Raphael Hyde | 47:17 | 516 | |
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| 2022-10-27 | Chris Tramount | CEO and Co-Founder of Scare.City | web3 talks | Aug 25th 2022 | MC: Raphael Hyde | 39:55 | 209 | |
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| 2022-10-25 | Daniel Johnsen | Chief Creative Officer at Playchain | web3 talks | Sep 1st 2022 | MC: Raphael Hyde | 42:13 | 424 | |
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| 2022-10-25 | Brandon Tory | CEO & Co-Founder of Formless | web3 talks | Sep 8th 2022 | MC: Raphael Hyde | 40:02 | 628 | |
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| 2022-10-25 | Raullen Chai | CEO & Co-founder of IoTex | web3 talks | Oct 6th 2022 | Hosted by Raphael Hyde | 32:48 | 1,304 | |
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| 2022-10-25 | Peter Schiff | CEO & Chief global strategist of Euro Pacific Cap Inc | web3 talks | Sep 29th 2022 | 48:54 | 6,408 | |
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| 2022-10-25 | Raoul Pal | CEO of RealVision, GMI, etc. | web3 talks | Sep 29th 2022 | Hosted by Raphael Hyde | 43:14 | 11,737 | |
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| 2022-10-21 | Robust Design Discovery and Exploration in Bayesian Optimization | 52:55 | 1,755 | |
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| 2022-09-20 | Master Equation for Discrete-Time Stackelberg Mean Field Games | 36:17 | 773 | |
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| 2022-09-12 | Graph Attention Retrospective | 40:09 | 997 | |
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| 2022-09-09 | Bayesian Optimization in the Wild: Risk-Averse Decisions and Budget Constraints | 56:38 | 1,348 | |
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| 2022-07-17 | Fast Linear Algebra for Distance Matrices | 33:46 | 1,689 | |
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| 2022-07-12 | Deep Learning 2.0: How Bayesian Optimization May Power the Next Generation of DL by Frank Hutter | 57:30 | 10,184 | |
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| 2022-06-14 | Expressing High Performance Irregular Computations on the GPU | 56:21 | 1,151 | |
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| 2022-05-24 | Building Developer Assistants that Think Fast and Slow | 1:10:12 | 3,316 | |
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| 2022-05-06 | 2022 Blockly Developers Summit: Year in Review and Roadmap | 0:00 | 7,306 | |
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| 2022-05-06 | 2022 Blockly Developers Summit: Debugging in Blockly | 0:00 | 2,338 | |
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| 2022-05-06 | 2022 Blockly Developers Summit: Customizing Blockly | 0:00 | 2,705 | |
|
| 2022-05-06 | 2022 Blockly Developers Summit: Bad Blocks | 5:14 | 845 | |
|
| 2022-05-06 | 2022 Blockly Developers Summit: Blockly at Google - Scratch for CS First | 0:00 | 786 | |
|
| 2022-05-06 | 2022 Blockly Developers Summit: Backwards Execution | 4:25 | 835 | |
|
| 2022-05-06 | 2022 Blockly Developers Summit: Serialization | 7:29 | 937 | |
|
| 2022-05-06 | 2022 Blockly Developers Summit: Contributing to Blockly | 12:20 | 361 | |
|
| 2022-05-06 | 2022 Blockly Developers Summit: Block Definitions - Past, Present, and Future | 9:46 | 1,102 | |
|
| 2022-05-06 | 2022 Blockly Developers Summit: TypeScript Migration | 14:28 | 797 | |
|
| 2022-02-14 | Probabilistic Numerics — moving BayesOpt expertise to the inner loop by Philipp Hennig | 59:09 | 1,921 | |
|
| 2022-02-09 | Information-Constrained Optimization: Can Adaptive Processing of Gradients Help? | 9:24 | 698 | Guide |
|
| 2022-02-09 | Differential privacy dynamics of noisy gradient descent | 10:21 | 621 | |
|
| 2022-02-09 | Consistent Spectral Clustering of Network Block Models under Local Differential Privacy | 10:01 | 430 | |
|
| 2022-02-09 | The Skellam Mechanism for Differentially Private Federated Learning | 10:08 | 562 | |
|
| 2022-02-09 | Statistical Heterogeneity in Federated Learning | 4:52 | 906 | |
|
| 2022-02-09 | Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning | 10:16 | 292 | Guide |
|
| 2022-02-09 | Tight Accounting in the Shuffle Model of Differential Privacy | 4:10 | 212 | |
|
| 2022-02-09 | Distributed Point Functions: Efficient Secure Aggregation and Beyond with Non-Colluding Servers | 7:06 | 492 | |
|
| 2022-02-09 | How to Turn Privacy ON and OFF and ON Again | 15:34 | 311 | Guide |
|
| 2022-02-09 | Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout | 10:30 | 264 | |
|
| 2022-02-09 | Secure Federated Learning on Wimpy Devices | 9:45 | 123 | |
|
| 2022-02-09 | Gaps between FL optimization theory and practice | 12:39 | 179 | |
|
| 2022-02-09 | Mistify: Automating DNN Model Porting for On-Device Inference at the Edge | 5:20 | 148 | |
|
| 2022-02-09 | Personalized Graph-Aided Online Federated Model Selection | 7:33 | 198 | |
|
| 2022-02-09 | Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition | 9:11 | 125 | |
|
| 2022-02-09 | Distributed neural network training via independent subnets | 8:35 | 455 | |
|
| 2022-02-09 | CaPC Learning: Confidential and Private Collaborative Learning | 5:27 | 110 | |
|
| 2022-02-09 | Locally Differentially Private Bayesian Inference | 5:56 | 155 | |
|
| 2022-02-09 | Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients | 10:15 | 1,050 | |
|
| 2022-02-09 | SparseFed: Mitigation Model Poisoning Attacks in Federated Learning with Sparsification | 5:54 | 399 | |
|
| 2022-02-09 | Federated Multi-Task Learning under a Mixture of Distributions | 16:58 | 378 | |
|
| 2022-02-09 | Private Multi-Group Aggregation | 10:20 | 89 | |
|
| 2022-02-09 | Private Goodness-of-Fit: A Few Ideas Go a Long Way | 10:30 | 112 | |
|
| 2022-02-09 | Privacy Amplification by Decentralization | 5:51 | 147 | |
|
| 2022-02-09 | Experimenting w/ Local & Central Differential Privacy for Both Robustness & Privacy in Fed.Learning | 11:46 | 238 | |
|
| 2022-02-09 | Differentially Private Fine-tuning of Language Models | 10:42 | 409 | |
|
| 2022-02-09 | When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? | 9:47 | 153 | |
|
| 2022-02-09 | FedVault: Efficient Gradient Outlier Detection for Byzantine-Resilient and Privacy-Preserving FedML | 5:40 | 133 | |
|
| 2022-02-09 | Federated Learning and Analytics Research Using TensorFlow Federated | 3:14:31 | 855 | |
|
| 2022-02-09 | Day 2 Lightning Talks: Federated Optimization and Analytics | 1:04:28 | 151 | |
|
| 2022-02-09 | Academic Keynote: Systems Support for Federated Computation, Mosharaf Chowdhury (U of Michigan) | 34:59 | 222 | |
|
| 2022-02-09 | Day 2 Lightning Talks: Privacy & Security | 1:06:39 | 272 | |
|
| 2022-02-09 | Google Keynote: Federated Learning & Federated Analytics-Research, Applications, & System Challenges | 59:53 | 611 | |
|
| 2022-02-09 | Academic Keynote: Differentially Private Covariance-Adaptive Mean Estimation, Adam Smith (BU) | 36:16 | 241 | |
|
| 2022-02-09 | Academic Keynote: Mean Estimation with User-level Privacy under Data Heterogeneity, Rachel Cummings | 32:57 | 408 | |
|
| 2022-02-09 | Day 1 Lightning Talks: Federated Optimization and Analytics | 1:02:11 | 230 | |
|
| 2022-02-09 | Day 1 Lightning Talks: Privacy & Security | 1:09:59 | 358 | |
|
| 2022-02-09 | Academic Keynote: Federated Learning with Strange Gradients, Martin Jaggi (EPFL) | 31:50 | 300 | |
|
| 2022-02-09 | Google Keynote: Federated Aggregation and Privacy | 53:53 | 528 | |
|
| 2022-02-09 | Welcome and Opening Remarks | 10:10 | 1,038 | |
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| 2022-01-26 | Warehouse-Scale Video Acceleration: Co-Design and Deployment in the Wild | 20:13 | 1,654 | |
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