|
Poster
|
Thu 11:00
|
Communication-Efficient Federated Group Distributionally Robust Optimization
Zhishuai Guo · Tianbao Yang
|
|
|
Workshop
|
Sun 12:00
|
MoQ: Mixture-of-format Activation Quantization for Communication-efficient AI Inference System
Haonan Wang · Zeli Liu · Chao Fang · John Walters · Stephen Crago
|
|
|
Workshop
|
|
Communication-efficient Algorithms Under Generalized Smoothness Assumptions
Sarit Khirirat · Abdurakhmon Sadiev · Artem Riabinin · Eduard Gorbunov · Peter Richtarik
|
|
|
Poster
|
Wed 11:00
|
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
Xiaonan Nie · Liu Qibin · Fangcheng Fu · Shenhan Zhu · Xupeng Miao · Xiaoyang Li · Yang Zhang · Shouda Liu · Bin CUI
|
|
|
Poster
|
Wed 16:30
|
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
Michael Crawshaw · Mingrui Liu
|
|
|
Workshop
|
|
Communication-Efficient Loss Minimization over Heterogeneous Data with Federated Hierarchical Ensemble Aggregation via Distillation
Sayantan Chowdhury · Ben Liang · Ali Tizghadam · Ilijc Albanese
|
|
|
Poster
|
Wed 11:00
|
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead
Minsu Kim · Walid Saad · Merouane DEBBAH · Choong Hong
|
|
|
Affinity Event
|
|
Communication-Efficient Decentralized Continual Learning
Sakshi Choudhary · Sai Aparna Aketi · Gobinda Saha · Kaushik Roy
|
|
|
Workshop
|
|
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat · Artavazd Maranjyan · Peter Richtarik
|
|
|
Workshop
|
|
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
Louis Fournier · Adel Nabli · Masih Aminbeidokhti · Marco Pedersoli · Eugene Belilovsky · Edouard Oyallon
|
|
|
Workshop
|
|
TOU: Truncated-factorized reduction for an efficient-parameter model fine-tuning
Phuong Thi-Mai Nguyen · Minh-Son Dao · Koji Zettsu
|
|
|
Workshop
|
|
Towards Low-bit Communication for Tensor Parallel LLM Inference
Harry Dong · Tyler Johnson · Minsik Cho · Emad Soroush
|
|
