Social And Emotional Learning Courses

USENIX

Ekya - Continuous Learning of Video Analytics Models on Edge Compute Servers

Continuous learning for edge video analytics models, addressing data drift and balancing inference-retraining tradeoffs. Ekya optimizes resource allocation for improved accuracy with fewer GPU resources.

• YouTube
• 17 minutes
• Self-Paced
• Conference Talk

USENIX

Check-N-Run - A Checkpointing System for Training Deep Learning Recommendation Models

Innovative checkpointing system for large ML models, reducing bandwidth and storage needs through differential checkpointing and quantization techniques without compromising training accuracy.

• YouTube
• 16 minutes
• Self-Paced
• Conference Talk

USENIX

DeepSketch - A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression

Explores DeepSketch, a machine learning-based technique for post-deduplication delta compression in storage systems, improving data reduction efficiency through enhanced reference search accuracy.

• YouTube
• 15 minutes
• Self-Paced
• Conference Talk

USENIX

Octo - INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning

Explores INT8 quantization for on-device learning, introducing Loss-aware Compensation and Parameterized Range Clipping to optimize forward and backward passes while preserving training quality.

• YouTube
• 14 minutes
• Self-Paced
• Conference Talk

USENIX

Oort - Efficient Federated Learning via Guided Participant Selection

Efficient federated learning system that improves model training and testing by intelligently selecting participants based on data utility and device capabilities, enhancing accuracy and performance.

• YouTube
• 16 minutes
• Self-Paced
• Conference Talk

USENIX

Pollux - Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

Innovative deep learning cluster scheduler optimizing resource allocation and job performance through adaptive co-optimization, resulting in reduced completion times and improved fairness among competing jobs.

• YouTube
• 14 minutes
• Self-Paced
• Conference Talk

USENIX

Distributed Deep Graph Learning at Scale

Explores a novel system for scaling Graph Neural Network training to large real-world graphs, introducing pipelined push-pull parallelism for faster and more efficient distributed processing.

• YouTube
• 14 minutes
• Self-Paced
• Conference Talk

USENIX

AntMan - Dynamic Scaling on GPU Cluster for Deep Learning

Dynamic scaling system for efficient GPU utilization in deep learning, improving memory and computation usage without compromising fairness or performance in large-scale clusters.

• YouTube
• 18 minutes
• Self-Paced
• Conference Talk

0xdade

Social Network Analysis - A Scary Primer

Explore unconventional data fusion techniques to analyze social networks, revealing insights from digital footprints and real-world sensors. Learn about graph theory and its applications in personal data analysis.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

0xdade

Machine Learning Models that Predict Mental Health Status on Twitter and Their Privacy Implications

Exploring machine learning's potential to predict mental health from social media posts, discussing privacy implications, language patterns, and mitigation strategies for ethical implementation.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk

OPENPediatrics

Social Justice Physician Responsibility and Resource Allocation

Explore ethical challenges in ICU resource allocation for adults and children, examining principles of utility, justice, and respect for persons in critical care decision-making.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

BruCON Security Conference

Social Engineering for Penetration Testers

Explore social engineering techniques, their evolution, and practical applications in penetration testing. Learn from real-world examples and scenarios to enhance your security assessment skills.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Conference Talk

BruCON Security Conference

From Weakest Link to Retaliation Weapon - Building Efficient Anti-Social Engineering Awareness Program

Explore effective strategies for building resilience against social engineering threats, drawing insights from behavioral science and real-world applications in high-risk environments.

• YouTube
• 41 minutes
• Self-Paced
• Conference Talk

USENIX Enigma Conference

When Machine Learning Isn't Private

Exploring privacy risks in machine learning models, focusing on data leakage and extraction techniques. Discusses challenges in prevention and potential solutions for researchers and practitioners.

• YouTube
• 23 minutes
• Self-Paced
• Conference Talk

USENIX Enigma Conference

A Sound Mind in a Vulnerable Body - Practical Hardware Attacks on Deep Learning

Explores hardware vulnerabilities in deep learning systems, demonstrating how fault injection and side-channel attacks can compromise model accuracy and steal proprietary information, highlighting the need for robust ML-level defenses.

• YouTube
• 22 minutes
• Self-Paced
• Conference Talk