Federated Deep Reinforcement Learning - Based Bitrate Adaptation for Dynamic Adaptive Streaming over HTTP

Phuong Luu Vo, Nghia T. Nguyen, Long Luu, Canh T. Dinh, Nguyen Hoang Tran, Tuan-Anh Le

Abstract: In video streaming over HTTP, the bitrate adaptation selects the quality of video chunks depending on the current network condition. Some previous works have applied deep reinforcement learning (DRL) algorithms to determine the chunk’s bitrate from the observed states to maximize the quality-of-experience (QoE). However, to build an intelligent model that can predict in various environments, such as 3G, 4G, Wifi, etc., the states observed from these environments must be sent to a server for training centrally.

External IDs:dblp:conf/aciids/VoNLDTL23