| 3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs. | 0 | 0.34 | 2022 |
| SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. | 0 | 0.34 | 2022 |
| On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data | 0 | 0.34 | 2022 |
| Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities | 0 | 0.34 | 2022 |
| FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. | 0 | 0.34 | 2022 |
| ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. | 0 | 0.34 | 2022 |
| Learnings from Federated Learning in The Real World | 0 | 0.34 | 2022 |
| Info-Commit: Information-Theoretic Polynomial Commitment | 0 | 0.34 | 2022 |
| Secure Federated Clustering. | 0 | 0.34 | 2022 |
| Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training | 0 | 0.34 | 2022 |
| Analog Secret Sharing With Applications to Private Distributed Learning | 0 | 0.34 | 2022 |
| List-Decodable Coded Computing: Breaking The Adversarial Toleration Barrier | 0 | 0.34 | 2021 |
| Analog Lagrange Coded Computing | 0 | 0.34 | 2021 |
| Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks | 10 | 0.48 | 2021 |
| PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously | 5 | 0.51 | 2021 |
| Analog Privacy-Preserving Coded Computing | 0 | 0.34 | 2021 |
| Jupiter - a networked computing architecture. | 0 | 0.34 | 2021 |
| Coded Computing for Boolean Functions | 0 | 0.34 | 2020 |
| Interactive Verifiable Polynomial Evaluation | 0 | 0.34 | 2020 |
| Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems | 1 | 0.38 | 2020 |
| Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning | 3 | 0.39 | 2020 |
| Coded Computing for Distributed Graph Analytics | 0 | 0.34 | 2020 |
| PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously | 1 | 0.36 | 2020 |
| Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding | 29 | 1.18 | 2020 |
| Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier | 2 | 0.41 | 2020 |
| Privacy-Aware Distributed Graph-Based Semi-Supervised Learning | 0 | 0.34 | 2019 |
| Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models. | 0 | 0.34 | 2019 |
| Timely Coded Computing | 0 | 0.34 | 2019 |
| Fitting Relus Via Sgd And Quantized Sgd | 0 | 0.34 | 2019 |
| A Topology-Aware Coding Framework For Distributed Graph Processing | 0 | 0.34 | 2019 |
| Timely-Throughput Optimal Coded Computing over Cloud Networks. | 4 | 0.39 | 2019 |
| CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning | 0 | 0.34 | 2019 |
| CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning | 7 | 0.52 | 2019 |
| Coded State Machine - Scaling State Machine Execution under Byzantine Faults. | 0 | 0.34 | 2019 |
| Robust Graph Signal Sampling | 0 | 0.34 | 2019 |
| Slack squeeze coded computing for adaptive straggler mitigation | 2 | 0.37 | 2019 |
| Compressed Coded Distributed Computing | 0 | 0.34 | 2018 |
| Coded Computing For Distributed Graph Analytics | 1 | 0.35 | 2018 |
| Secrecy DoF of Blind MIMOME Wiretap Channel With Delayed CSIT. | 1 | 0.35 | 2018 |
| Near-Optimal Straggler Mitigation For Distributed Gradient Methods | 11 | 0.59 | 2018 |
| Fundamental resource trade-offs for encoded distributed optimization | 0 | 0.34 | 2018 |
| PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. | 1 | 0.37 | 2018 |
| Characterizing the Rate-Memory Tradeoff in Cache Networks within a Factor of 2. | 26 | 1.19 | 2017 |
| Fundamental Limits of Non-Coherent Interference Alignment via Matroid Theory. | 0 | 0.34 | 2017 |
| Coded TeraSort. | 0 | 0.34 | 2017 |
| SINR-Threshold Scheduling with Binary Power Control for D2D Networks. | 0 | 0.34 | 2017 |
| Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication. | 38 | 1.49 | 2017 |
| Coding for Distributed Fog Computing. | 32 | 1.16 | 2017 |
| Topological Interference Management with Reconfigurable Antennas. | 1 | 0.41 | 2016 |
| Fundamental Limits of Cache-Aided Interference Management. | 49 | 2.02 | 2016 |
