Anit Kumar Sahu
Publications by Year
Research Areas
Stochastic Gradient Optimization Techniques, Distributed Control Multi-Agent Systems, Privacy-Preserving Technologies in Data, Distributed Sensor Networks and Detection Algorithms, Sparse and Compressive Sensing Techniques
Most-Cited Works
- → Federated Optimization in Heterogeneous Networks(2018)451 cited
- On the Convergence of Federated Optimization in Heterogeneous Networks.(2018)
- → FedDANE: A Federated Newton-Type Method(2019)113 cited
- → MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling(2019)112 cited
- → Distributed stochastic optimization with gradient tracking over strongly-connected networks(2019)101 cited
- → Federated Learning Challenges and Opportunities: An Outlook(2022)62 cited
- Multiplicative Filter Networks(2021)
- → Black-box Adversarial Attacks with Bayesian Optimization(2019)25 cited
- → Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes(2021)24 cited