113 citations · 425 across the 25 of their papers we have counts for
5 papers · 1 filter
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning
Xin Yao, Tianchi Huang, Chenglei Wu +2
Human beings are able to master a variety of knowledge and skills with ongoing learning. By contrast, dramatic performance degradation is observed when new tasks are added to an ex…
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating
Xin Yao, Tianchi Huang, Rui-Xiao Zhang +2
Federated learning (FL) aims to train machine learning models in the decentralized system consisting of an enormous amount of smart edge devices. Federated averaging (FedAvg), the…
Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs
Xin Yao, Tianchi Huang, Chenglei Wu +2
Federated learning (FL) enables on-device training over distributed networks consisting of a massive amount of modern smart devices, such as smartphones and IoT (Internet of Things…
Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning
Tianchi Huang, Chao Zhou, Rui-Xiao Zhang +3
Learning-based Adaptive Bit Rate~(ABR) method, aiming to learn outstanding strategies without any presumptions, has become one of the research hotspots for adaptive streaming. Howe…
Reactive Video Caching via long-short-term fusion approach
Rui-Xiao Zhang, Tianchi Huang, Chenglei Wu +1
Video caching has been a basic network functionality in today's network architectures. Although the abundance of caching replacement algorithms has been proposed recently, these me…