Research for Industries (RFI) Lecture Series: Andreas Haeberlen

Subscribers:
344,000
Published on ● Video Link: https://www.youtube.com/watch?v=vVp0g10rmyk



Duration: 54:43
885 views
18


Privacy-Preserving Federated Analytics at Scale

Andreas Haeberlen is an Associate Professor at the University of Pennsylvania. His research interests include distributed systems, networking, security, and privacy. He's recently been working on secure network providence, accountable distributed systems, and differential privacy.

Learn more about Research for Industry at Microsoft: https://www.microsoft.com/en-us/research/group/research-for-industry/




Other Videos By Microsoft Research


2021-05-12Platform for Situated Intelligence Workshop | Day 1
2021-05-12Platform for Situated Intelligence Workshop | Day 2
2021-05-03Knowledge Distillation as Semiparametric Inference
2021-05-03Better design, implementation, and testing of async systems with Coyote
2021-05-03Research @Microsoft Research India: interdisciplinary and impactful with Dr. Sriram Rajamani
2021-04-29Virtual Lake Nona Impact Forum “Health Innovation in the New Reality”
2021-04-28Sound Capture and Speech Enhancement for Communication and Distant Speech Recognition
2021-04-27Virtual Lake Nona Impact Forum “Health Innovation in the New Reality”
2021-04-26FastNeRF: High-Fidelity Neural Rendering at 200FPS [Condensed]
2021-04-21Research for Industries (RFI) Lecture Series: Warren Powell
2021-04-21Research for Industries (RFI) Lecture Series: Andreas Haeberlen
2021-04-13Discovering hidden connections in art with deep, interpretable visual analogies
2021-04-13ZeRO & Fastest BERT: Increasing the scale and speed of deep learning training in DeepSpeed
2021-04-13Interactive sound simulation: Rendering immersive soundscapes in games and virtual reality
2021-04-13A prototype implementation of 4G packet gateway Microsoft Catapult FPGA platform
2021-04-12Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization
2021-04-06Ultra-dense data storage and extreme parallelism with electronic-molecular systems
2021-04-06Harmonizing the declarative and imperative in database systems
2021-04-06Domain-specific language model pretraining for biomedical natural language processing
2021-03-30Platform Biography: A framework for analyzing the structures and dynamics of social media
2021-03-30Building multimodal, integrative AI systems with Platform for Situated Intelligence



Tags:
Federated Analytics
privacy-preserving analytics
Andreas Haeberlen
distributed systems
networking
security
privacy
secure network providence
accountable distributed systems
differential privacy
Microsoft Research
Research for Industries